Publications

Please also refer to the Google Scholar profiles of the group members.

Real-time activity recognition for food preparation, ,Proceedings of the IEEE International Conference on Computing and Communication Technologies

Who is Cooking? Sensor-Based Actor Identification in the Kitchen, ,International Workshop on Frontiers in Activity Recognition using Pervasive Sensing (in conjunction with Pervasive), 2011

How to do good research in activity recognition, ,Proceedings of the Workshop on “How to do good research in Activity Recognition”(in conjunction with Pervasive. Helsinki, Finland

Proceedings of SRR: Wristband accelerometers to motivate arm exercise after stroke (WAVES): A pilot randomized controlled trial, ,The Society of Research in Rehabilitation 40th Anniversary and Winter Meeting, 2018.

Wristband accelerometers to motivate arm exercise after stroke (WAVES): Activity data from a pilot randomised controlled trial, ,Annals of Physical and Rehabilitation Medicine, Volume: 61, Pages: e31, 2018.

ISWC 2017: Riding the Waves of Wearables, ,IEEE Pervasive Computing, Volume: 17, Number: 2, Pages: 78-83, 2018.

Prompting arm activity after stroke: A clinical proof of concept study of wrist-worn accelerometers with a vibrating alert function, ,Journal of rehabilitation and assistive technologies engineering, Volume: 5, Pages: 2055668318761524, 2018.

FingerSound: Recognizing unistroke thumb gestures using a ring, ,Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume: 1, Number: 3, Pages: 120, 2017.

FingOrbits: interaction with wearables using synchronized thumb movements, ,Proceedings of the 2017 ACM International Symposium on Wearable Computers, Pages: 62-65, 2017.

WRIST WORN ACCELEROMETERS WITH VIBRATING ALERTS TO PROMPT EXERCISES AFTER STROKE, ,

Methods for Studying Technology in the Home, ,Oxford University Press, 2014.

Movement recognition technology as a method of assessing spontaneous general movements in high risk infants, ,Frontiers in Neurology; vol : 5; number : 284. 2015

Beyond Activity Recognition: Skill Assessment from Accelerometer Data, ,Proc. UbiComp, 2015

Dancing with Horses: Automated Quality Feedback for Dressage Riders, ,Proc. UbiComp, 2015

Bootstrapping Personalised Human Activity Recognition Models Using Online Active Learning, ,Proc. IUCC, 2015

How did I do? Automatic Skill Assessment from Accelerometer Data, ,ACM GetMobile; Newcastle University, 2015

PD disease state assessment in naturalistic environments using deep learning, ,Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Rehabilitation and Recovery Physical activity, sedentary behavior and metabolic control following stroke: A cross-sectional and longitudinal study, ,International Journal of Stroke; vol : 10, 2015

CueS: cueing for upper limb rehabilitation in stroke, ,Proceedings of the 2015 British HCI Conference; pages:18-25; ACV>, 2015

Wristband accelerometers to motivate arm exercise after stroke (WAVES): Activity data from a pilot randomised controlled trial, ,Annals of Physical and Rehabilitation Medicine, volume : 62, pages : e31, Elsevier Masson, 2018

Future of Ubiquitous Home Interaction with OUI Interiors, ,CHI Workshop on the future of human-building interactions, 2016

Automated General Movement Assessment for Perinatal Stroke, ,Smart Assisted Living: Toward An Open Smart-Home Infrastructure

Automated General Movement Assessment for Perinatal Stroke Screening in Infants, ,Smart Assisted Living 2020

Automated Detection of Infant Holding Using Wearable Sensing: Implications for Developmental Science and Intervention, ,Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 3 no. 2, 2019

Large scale population assessment of physical activity using wrist worn, ,2017

Wristband accelerometers to motivate arm exercise after stroke (WAVES): Activity data from a pilot randomised controlled trial, ,12th World Congress of the International Society of Physical and Rehabilitation Medicine. 2018

Feature learning for activity recognition in ubiquitous computing, ,Twenty-Second International Joint Conference on Artificial Intelligence. 2011.

Prompting arm activity after stroke: A clinical proof of concept study of wrist-worn accelerometers with a vibrating alert function, ,Journal of Rehabilitation and Assistive Technologies Engineering, vol. 5, pp.1–8, May 2018.

Ensembles of Deep LSTM Learners for Activity Recognition using Wearables, Machine Learning, Ubiquitous and Wearable Computing, Activity Recognition,PACM IMWUT, 2017

Handling Annotation Uncertatinty in Human Activity Recognition, ,International Symposium on Wearable Computers (ISWC) 2019

Cardiorespiratory fitness is associated with hard and light intensity physical activity but not time spent sedentary in 10–14 year old schoolchildren: the HAPPY study, ,PloS one

Real-time activity recognition for food preparation, ,Proceedings of the IEEE International Conference on Computing and Communication Technologies

Digital Object Memories for the Internet of Things (DOMe-Iot), ,Proceedings of the 2012 ACM Conference on Ubiquitous Computing

A new approach for HMM based protein sequence modeling and its application to remote homology classification, ,Proc. Workshop Statistical Signal Processing, IEEE, Bordeaux, Franc

SVM ensemble classification of nmr spectra based on different configurations of data processing techniques, ,2008 19th International Conference on Pattern Recognition, IEEE

On the use of empirically determined impulse responses for improving distant talking speech recognition, ,2008 Hands-Free Speech Communication and Microphone Arrays, IEEE

Real-time detection and interpretation of 3D deictic gestures for interaction with an intelligent environment, ,Pattern Recognition, 2008. ICPR 2008. 19th International Conference on, IEEE

A hierarchical approach to unsupervised shape calibration of microphone array networks, ,2009 IEEE/SP 15th Workshop on Statistical Signal Processing, IEEE

On the use of context-dependent modeling units for HMM-based offline handwriting recognition, ,Document Analysis and Recognition, 2007. ICDAR 2007. Ninth International Conference on, IEEE

A new approach for HMM based protein sequence family modeling and its application to remote homology classification, ,IEEE/SP 13th Workshop on Statistical Signal Processing, 2005

Automatic detection of song changes in music mixes using stochastic models, ,18th International Conference on Pattern Recognition (ICPR'06), IEEE

Feature extraction for improved Profile HMM based biological sequence analysis, ,Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., IEEE

On appearance-based feature extraction methods for writer-independent handwritten text recognition, ,Eighth International Conference on Document Analysis and Recognition (ICDAR'05), IEEE

Calibration-free camera hand-over for fast and reliable person tracking in multi-camera setups, ,2008 19th International Conference on Pattern Recognition, IEEE

Physical activity, sedentary behaviour and metabolic control following stroke: a cross-sectional and longitudinal study, ,PloS one, Public Library of Science

Who is Cooking? Sensor-Based Actor Identification in the Kitchen, ,International Workshop on Frontiers in Activity Recognition using Pervasive Sensing (in conjunction with Pervasive), 2011

Task-Based Learning in an Instrumented Kitchen, ,

An efficient method for making un-supervised adaptation of HMM-based speech recognition systems robust against out-of-domain data, ,Proc. 4th Int. Workshop on Natural Language Processing and Cognitive Science, Funchal, Portugal

Recognizing water-based activities in the home through infrastructure-mediated sensing, ,Proceedings of the 2012 ACM Conference on Ubiquitous Computing

Automatic assessment of problem behavior in individuals with developmental disabilities, ,Proceedings of the 2012 ACM conference on ubiquitous computing

The french kitchen: task-based learning in an instrumented kitchen, ,Proceedings of the 2012 ACM Conference on Ubiquitous Computing

Automatic Synchronization of Wearable Sensors and Video-Cameras for Ground Truth Annotation–A Practical Approach, ,2012 16th International Symposium on Wearable Computers

The mobile fitness coach: Towards individualized skill assessment using personalized mobile devices, ,Pervasive and Mobile Computing, Elsevier

Rapid specification and automated generation of prompting systems to assist people with dementia, ,Pervasive and Mobile Computing, Elsevier

Pattern recognition methods for advanced stochastic protein sequence analysis using HMMs, ,Pattern Recognition, Pergamon

NMR-based urine analysis in rats: Prediction of proximal tubule kidney toxicity and phospholipidosis, ,Journal of pharmacological and toxicological methods, Elsevier

Gymskill: A personal trainer for physical exercises, ,Pervasive Computing and Communications (PerCom), 2012 IEEE International Conference on

Towards Faster Profile HMM Evaluation, ,

Stacking for ensembles of local experts in metabonomic applications, ,International Workshop on Multiple Classifier Systems, Springer, Berlin, Heidelberg

Integration of Structural and Color Cues for Robust Hand Detection in Video Images, ,Proc. Open German/Russian Workshop on Pattern Recognition and Image Understanding

How to do good research in activity recognition, ,Proceedings of the Workshop on “How to do good research in Activity Recognition”(in conjunction with Pervasive. Helsinki, Finland

Zeichen & Gebarden, ,Seminar Kommunikaiton: Das Miteinander von Mensch und Maschine. Bielfeld: Universitat Bielfeld, Technische Fakultat. Pridobljeno

Prediction of Mood Instability with Passive Sensing, ,Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Vol 3, no. 3, 2019

Feature learning for activity recognition in ubiquitous computing, ,Twenty-Second International Joint Conference on Artificial Intelligence. 2011.

Markov Models for Handwriting Recognition, ,Springer London, 2011

SNAP: SyNdetic Assistance Processes, , In Proceedings of Annual Conference on Neural Information Processing Systems Workshop on Machine Learning for Assistive Technologies.

Towards a pervasive kitchen infrastructure for measuring cooking competence, ,In 2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops, pp. 107-114. IEEE, 2011.

Digital object memories in the internet of things workshop:(DOME-IoT 2010), ,In Proceedings of the 12th ACM international conference adjunct papers on Ubiquitous computing-Adjunct (pp. 527-530). ACM.

Habitual physical activity in mitochondrial disease, ,PLoS One, 6(7), e22294.

Cueing for drooling in Parkinson’s disease, ,Proceedings of the SIGCHI conference on Human Factors in Computing Systems. ACM, 2011.

Towards Human Centered Ambient Intelligence, ,European Conference on Ambient Intelligence. Springer, Berlin, Heidelberg, 2008.

International workshop on networking and object memories for the internet of things, ,Proceedings of the 13th international conference on Ubiquitous computing. ACM, 2011.

Robust hand detection in still video images using a combination of salient regions and color cues for interaction with an intelligent environment, ,Pattern Recognition and Image Analysis 18.3 (2008): 417-430.

Towards feature learning for hmm-based offline handwriting recognition, ,International Workshop on Frontiers in Arabic Handwriting Recognition. 2010.

Camera-based analysis of whiteboard notes, ,3rd Int. Workshop on Camera-Based Document Analysis and Recognition. 2009.

Activity recognition and healthier food preparation, ,Activity Recognition in Pervasive Intelligent Environments. Atlantis Press, 2011. 313-329.

Physical activity intensity but not sedentary activity is reduced in chronic fatigue syndrome and is associated with autonomic regulation, ,QJM: An International Journal of Medicine 104.8 (2011): 681-687.

Assessing motor performance with PCA, ,Proceedings of the International Workshop on Frontiers in Activity Recognition using Pervasive Sensing. 2011.

Detecting hands in video images using scale invariant local descriptors, ,Proceedings of IASTED Int. Conf. on Visualization, Imaging and Image Processing (VHP 2007). 2007

A dynamic time warping approach to real-time activity recognition for food preparation, ,International Joint Conference on Ambient Intelligence. Springer, Berlin, Heidelberg, 2010

Evaluating ubiquitous systems with users (workshop summary), ,European Conference on Ambient Intelligence. Springer, Berlin, Heidelberg, 2007

A multi-modal attention system for smart environments, ,International Conference on Computer Vision Systems. Springer, Berlin, Heidelberg, 2009

Online-Adaption statistischer Spracherkennungssysteme, ,2001

Automatic classification of NMR spectra by ensembles of local experts, ,Joint IAPR International Workshops on Statistical Techniques in Pattern Recognition (SPR) and Structural and Syntactic Pattern Recognition (SSPR). Springer, Berlin, Heidelberg, 2008

Accelerating the evaluation of profile HMMs by pruning techniques, ,University of Bielefeld, 2004

Layout Analysis for Camera-Based Whiteboard Notes, ,J. UCS 15.18 (2009): 3307-3324

Integrating speaker identification and learning with adaptive speech recognition, ,ODYSSEY04-The Speaker and Language Recognition Workshop. 2004

Robust remote homology detection by feature based Profile Hidden Markov Models, ,Statistical applications in genetics and molecular biology 4.1 (2005)

Advanced stochastic protein sequence analysis, ,2005

On the application of SVM-Ensembles based on adapted random subspace sampling for automatic classification of NMR data, ,International Workshop on Multiple Classifier Systems. Springer, Berlin, Heidelberg, 2007

Developing pattern recognition systems based on Markov models: The ESMERALDA framework, ,Pattern Recognition and Image Analysis 18.2 (2008): 207-215.

Robust time-synchronous environmental adaptation for continuous speech recognition systems, ,Seventh International Conference on Spoken Language Processing. 2002.

Multi-modal and multi-camera attention in smart environments, , Proceedings of the 2009 international conference on Multimodal interfaces. ACM, 2009.

Camera-based whiteboard reading: New approaches to a challenging task, ,International Conference on Frontiers in Handwriting Recognition. 2008.

Unsupervised estimation of writing style models for improved unconstrained off-line handwriting recognition., ,2006.

Markov models for offline handwriting recognition: a survey, , International Journal on Document Analysis and Recognition (IJDAR) 12.4 (2009): 269.

Multi-modal anchoring for human–robot interaction, ,Robotics and Autonomous Systems,vol. 43, no. 2-3, pp. 133–147, 2003

, Designing Future Ubiquitous Homes with OUI Interiors - Possibilities and Challenges.,Interaction Design and Architectures, vol. 2017, no. 32, pp. 28–37, 2017.

A Unified Model for User Identification on Multi-Touch Surfaces: A Survey and Meta-Analysis, ,ACM Transactions on Computer- Human Interaction (TOCHI), vol. 24, issue 6, article 39, 2018.

Prompting arm activity after stroke: A clinical proof of concept study of wrist-worn accelerometers with a vibrating alert function, ,Journal of Rehabilitation and Assistive Technologies Engineering, vol. 5, pp.1–8, May 2018.

Comparing Regional Patterns of Individual Movement Using Corrected Mobility Entropy, ,Journal of Urban Tech- nology, vol. 0, no. 0, pp. 1–35, May 2018.

Deep Learning for Human Activity Recognition in Mobile Computing, Machine Learning; Mobile, wearable, ubiquitous computing; Activity Recognition; Deep Learning,IEEE Computer, 2018

Ensembles of Deep LSTM Learners for Activity Recognition using Wearables, Machine Learning, Ubiquitous and Wearable Computing, Activity Recognition,PACM IMWUT, 2017

Archival liveness: Designing with collections before and during cataloguing and digitization, ,The Alliance of Digital Humanities Organizations

Future of Ubiquitous Home Interaction with OUI Interiors, ,CHI Workshop on the future of human-building interactions

Real-time activity recognition for food preparation, ,Proceedings of the IEEE International Conference on Computing and Communication Technologies

Digital Object Memories for the Internet of Things (DOMe-Iot), ,Proceedings of the 2012 ACM Conference on Ubiquitous Computing

How to do good research in activity recognition, ,Proceedings of the Workshop on “How to do good research in Activity Recognition”(in conjunction with Pervasive. Helsinki, Finland

Geographical veracity of indicators derived from mobile phone data, ,arXiv preprint arXiv:1809.09912, 2018.

Proceedings of SRR: Wristband accelerometers to motivate arm exercise after stroke (WAVES): A pilot randomized controlled trial, ,The Society of Research in Rehabilitation 40th Anniversary and Winter Meeting, 2018.

Sensor-Based Actor Identification in the Kitchen, ,Workshop on Frontiers in Activity Recognition using Pervasive Sensing, Pervasive Computing, 2011.

Detecting home locations from CDR data: introducing spatial uncertainty to the state-of-the-art, ,arXiv preprint arXiv:1808.06398, 2018.

A combined deep learning gru-autoencoder for the early detection of respiratory disease in pigs using multiple environmental sensors, ,Sensors, Volume: 18, Number: 8, Pages: 2521, 2018.

Multi-part segmentation for porcine offal inspection with auto-context and adaptive atlases, ,Pattern recognition letters, Volume: 112, Pages: 290-296, 2018.

Wristband accelerometers to motivate arm exercise after stroke (WAVES): Activity data from a pilot randomised controlled trial, ,Annals of Physical and Rehabilitation Medicine, Volume: 61, Pages: e31, 2018.

ISWC 2017: Riding the Waves of Wearables, ,IEEE Pervasive Computing, Volume: 17, Number: 2, Pages: 78-83, 2018.

Deep, convolutional, and recurrent models for human activity recognition using wearables, ,arXiv preprint arXiv:1604.08880

Comparing regional patterns of individual movement using corrected mobility entropy, ,Journal of Urban Technology, Volume: 25, Number: 2, Pages: 78-83, 2018.

Deep learning for human activity recognition in mobile computing, ,Computer, Volume: 51, Number: 5, Pages: 50-59. 2018.

Adaptive App Design by Detecting Handedness, ,arXiv preprint arXiv:1805.08367, 2018.

FingerPing: Recognizing Fine-grained Hand Poses using Active Acoustic On-body Sensing, ,Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, Pages: 437, ACM, 2018.

Exploring the use of mobile phone data for domestic tourism trip analysis, ,Netcom. Rèseaux, communication et territoires, Number: 31-34, Pages: 335-372, 2017.

Correcting Mobility Entropy for Regional Comparison of Individual Movement Patterns, ,Journal of Urban Technology, 2018.

Prompting arm activity after stroke: A clinical proof of concept study of wrist-worn accelerometers with a vibrating alert function, ,Journal of rehabilitation and assistive technologies engineering, Volume: 5, Pages: 2055668318761524, 2018.

Preface: Lecture Notes in Computer Science: Structural, Syntactic and Statistical Pattern Recognition, ,Lecture Notes in Computer Science: Structural, Syntactic and Statistical Pattern Recognition, Volume: 6218, Pages: v-vi, 2010.

A unified model for user identification on multi-touch surfaces: a survey and meta-analysis, ,ACM Transactions on Computer-Human Interaction (TOCHI), Volume: 24, Number: 6, Pages: 39, 2018.

Automated tracking to measure behavioural changes in pigs for health and welfare monitoring, ,Scientific reports, Volume: 7, Number: 1, Pages: 17582, 2017.

NAO: a framework to enable efficient mobile offloading, ,Proceedings of the Workshop on Posters and Demos Track, Pages= 8, ACM, 2011.

The genetic basis of novel water utilisation and drinking behaviour traits and their relationship with biological performance in turkeys, ,Genetics Selection Evolution, Volume: 49, Number: 1, Pages: 72, 2017.

FingerSound: Recognizing unistroke thumb gestures using a ring, ,Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume: 1, Number: 3, Pages: 120, 2017.

FingOrbits: interaction with wearables using synchronized thumb movements, ,Proceedings of the 2017 ACM International Symposium on Wearable Computers, Pages: 62-65, 2017.

WRIST WORN ACCELEROMETERS WITH VIBRATING ALERTS TO PROMPT EXERCISES AFTER STROKE, ,

Activity recognition for quality assessment of batting shots in cricket using a hierarchical representation, ,Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume: 1, Number: 3, Pages: 62, 2017.

Designing future ubiquitous homes with oui interiors: possibilities and challenges, ,Interaction Design and Architecture (s), Volume: 32, Pages: 28-37, 2017

Prototyping ubiquitous imaging surfaces, ,Proceedings of the 2017 Conference on Designing Interactive Systems, Pages: 203-207, ACM.

FoodBoard: surface contact imaging for food recognition, ,Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing; pages : 749--752; ACM; 2013

Automated Surgical OSATS Prediction from Videos, ,Proc. ISBI, 2014.

Augmenting the servicescape with ubiquitous interactive surfaces: Fibreshelf technology, ,2014

Using Unlabeled Data in a Sparse-coding Framework for Human Activity Recognition, ,Pervasive and Mobile Computing, Elsevier, 2014

On Strategies for Budget-Based Online Annotation in Human Activity Recognition, ,Adjunct Proceedings of UbiComp, 2014

Video Based Assessment of OSATS Using Sequential Motion Textures, ,Proceedings of M2CAI, 2014.

Occupancy monitoring using environmental & context sensors and a hierarchical analysis framework., ,In Proceedings of the 1st ACM Conference on Embedded Systems for Energy-Efficient Buildings (BuildSys '14). ACM, New York, NY, USA, 90-99.

Methods for Studying Technology in the Home, ,Oxford University Press, 2014.

Non-alcoholic fatty liver disease is associated with higher levels of objectively measured sedentary behaviour and lower levels of physical activity than matched healthy controls, ,Frontline gastroenterology, vol: 6, no : 1, pages : 44--51; British Medical Journal Publishing Group, 2015.

Movement recognition technology as a method of assessing spontaneous general movements in high risk infants, ,Frontiers in Neurology; vol : 5; number : 284. 2015

Let’s (not) Stick Together: Pairwise Similarity Biases Cross-Validation in Activity Recognition, ,Proc. UbiComp, 2015

Beyond Activity Recognition: Skill Assessment from Accelerometer Data, ,Proc. UbiComp, 2015

Diri – the Actuated Helium Balloon: A Study of Autonomous Behaviour in Interfaces, ,Proc. UbiComp, 2015

Dancing with Horses: Automated Quality Feedback for Dressage Riders, ,Proc. UbiComp, 2015

Bootstrapping Personalised Human Activity Recognition Models Using Online Active Learning, ,Proc. IUCC, 2015

Archival liveness: Designing with collections before and during cataloguing and digitization, ,The Alliance of Digital Humanities Organizations, 2015

How did I do? Automatic Skill Assessment from Accelerometer Data, ,ACM GetMobile; Newcastle University, 2015

PD disease state assessment in naturalistic environments using deep learning, ,Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Rehabilitation and Recovery Physical activity, sedentary behavior and metabolic control following stroke: A cross-sectional and longitudinal study, ,International Journal of Stroke; vol : 10, 2015

CueS: cueing for upper limb rehabilitation in stroke, ,Proceedings of the 2015 British HCI Conference; pages:18-25; ACV>, 2015

BlobSnake: Gamification of Feature Extraction for ‘Plug and Play’Human Activity Recognition., ,Proceedings of the 2015 British HCI Conference,; pages=74--81; ACM, 2015

Deep, convolutional, and recurrent models for human activity recognition using wearables, ,Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI'16), Gerhard Brewka (Ed.). AAAI Press 1533-1540

Automated video-based assessment of surgical skills for training and evaluation in medical schools, ,International Journal of Computer Assisted Radiology and Surgery; Springer, 2016

Wristband accelerometers to motivate arm exercise after stroke (WAVES): Activity data from a pilot randomised controlled trial, ,Annals of Physical and Rehabilitation Medicine, volume : 62, pages : e31, Elsevier Masson, 2018

Future of Ubiquitous Home Interaction with OUI Interiors, ,CHI Workshop on the future of human-building interactions, 2016

Prediction of Mood Instability with Passive Sensing, ,Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Vol 3, no. 3, 2019

Multi-target affect detection in the wild: an exploratory study, ,Proceedings of the 23rd International Symposium on Wearable Computers 2019

Automated General Movement Assessment for Perinatal Stroke, ,Smart Assisted Living: Toward An Open Smart-Home Infrastructure

Large scale population assessment of physical activity using wrist worn, ,2017

Wristband accelerometers to motivate arm exercise after stroke (WAVES): Activity data from a pilot randomised controlled trial, ,12th World Congress of the International Society of Physical and Rehabilitation Medicine. 2018

Feature learning for activity recognition in ubiquitous computing, ,Twenty-Second International Joint Conference on Artificial Intelligence. 2011.

Towards a pervasive kitchen infrastructure for measuring cooking competence, ,In 2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops, pp. 107-114. IEEE, 2011.

A Unified Model for User Identification on Multi-Touch Surfaces: A Survey and Meta-Analysis, ,ACM Transactions on Computer- Human Interaction (TOCHI), vol. 24, issue 6, article 39, 2018.

Ensembles of Deep LSTM Learners for Activity Recognition using Wearables, Machine Learning, Ubiquitous and Wearable Computing, Activity Recognition,PACM IMWUT, 2017

Handling Annotation Uncertatinty in Human Activity Recognition, ,International Symposium on Wearable Computers (ISWC) 2019

Adding Structural Characteristics to Distribution-Based Accelerometer Representations for Activity Recognition using Wearables, ,International Symposium on Wearable Computers (ISWC) 2018

SVM ensemble classification of nmr spectra based on different configurations of data processing techniques, ,2008 19th International Conference on Pattern Recognition, IEEE

On the use of empirically determined impulse responses for improving distant talking speech recognition, ,2008 Hands-Free Speech Communication and Microphone Arrays, IEEE

A hierarchical approach to unsupervised shape calibration of microphone array networks, ,2009 IEEE/SP 15th Workshop on Statistical Signal Processing, IEEE

On the use of context-dependent modeling units for HMM-based offline handwriting recognition, ,Document Analysis and Recognition, 2007. ICDAR 2007. Ninth International Conference on, IEEE

A new approach for HMM based protein sequence family modeling and its application to remote homology classification, ,IEEE/SP 13th Workshop on Statistical Signal Processing, 2005

Automatic detection of song changes in music mixes using stochastic models, ,18th International Conference on Pattern Recognition (ICPR'06), IEEE

Feature extraction for improved Profile HMM based biological sequence analysis, ,Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., IEEE

On appearance-based feature extraction methods for writer-independent handwritten text recognition, ,Eighth International Conference on Document Analysis and Recognition (ICDAR'05), IEEE

Who is Cooking? Sensor-Based Actor Identification in the Kitchen, ,International Workshop on Frontiers in Activity Recognition using Pervasive Sensing (in conjunction with Pervasive), 2011

Task-Based Learning in an Instrumented Kitchen, ,

An efficient method for making un-supervised adaptation of HMM-based speech recognition systems robust against out-of-domain data, ,Proc. 4th Int. Workshop on Natural Language Processing and Cognitive Science, Funchal, Portugal

Recognizing water-based activities in the home through infrastructure-mediated sensing, ,Proceedings of the 2012 ACM Conference on Ubiquitous Computing

Automatic assessment of problem behavior in individuals with developmental disabilities, ,Proceedings of the 2012 ACM conference on ubiquitous computing

The french kitchen: task-based learning in an instrumented kitchen, ,Proceedings of the 2012 ACM Conference on Ubiquitous Computing

Automatic Synchronization of Wearable Sensors and Video-Cameras for Ground Truth Annotation–A Practical Approach, ,2012 16th International Symposium on Wearable Computers

Pattern recognition methods for advanced stochastic protein sequence analysis using HMMs, ,Pattern Recognition, Pergamon

Towards Faster Profile HMM Evaluation, ,

Stacking for ensembles of local experts in metabonomic applications, ,International Workshop on Multiple Classifier Systems, Springer, Berlin, Heidelberg

Integration of Structural and Color Cues for Robust Hand Detection in Video Images, ,Proc. Open German/Russian Workshop on Pattern Recognition and Image Understanding

Gymskill: Mobile exercise skill assessment to support personal health and fitness, ,9th Intl. Conf. on Pervasive Computing (Pervasive 2011), Video, San Francisco, CA, USA

Satiety splits drinking behavior into bouts: Organization of drinking in turkeys, ,Journal of animal science

Rehabilitation and Recovery Physical activity, sedentary behavior and metabolic control following stroke: A cross-sectional and longitudinal study, ,International Journal of Stroke

Associations between prolonged sedentary time and breaks in sedentary time with cardiometabolic risk in 10–14-year-old children: The HAPPY study, ,Journal of sports sciences

Wristband Accelerometers to motiVate arm Exercise after Stroke (WAVES): study protocol for a pilot randomized controlled trial, ,Trials

Early detection of health and welfare compromises through automated detection of behavioural changes in pigs, ,The Veterinary Journal

A study of wrist-worn activity measurement as a potential real-world biomarker for late-life depression, ,Psychological medicine

Unsupervised home monitoring of Parkinson’s disease motor symptoms using body-worn accelerometers, ,Parkinsonism & related disorders

A study of physical activity comparing people with Charcot-Marie-Tooth disease to normal control subjects, ,Disability and rehabilitation

Automated video-based assessment of surgical skills for training and evaluation in medical schools, ,International Journal of Computer Assisted Radiology and Surgery

A study of wrist-worn activity measurement as a potential real-world biomarker for late life depression, ,Bipolar Disorders

Segmentation of organs in pig offal using auto-context, ,2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)

Weighted atlas auto-context with application to multiple organ segmentation, ,2016 IEEE Winter Conference on Applications of Computer Vision (WACV)

Physical activity, sedentary behavior and metabolic control following stroke: A cross-sectional and longitudinal study, ,The European Stroke Organisation Annual Conference

CueS: cueing for upper limb rehabilitation in stroke, ,Proceedings of the 2015 British HCI Conference

Cardiorespiratory fitness is associated with hard and light intensity physical activity but not time spent sedentary in 10–14 year old schoolchildren: the HAPPY study, ,PloS one

A new approach for HMM based protein sequence modeling and its application to remote homology classification, ,Proc. Workshop Statistical Signal Processing, IEEE, Bordeaux, Franc

A new approach for HMM based protein sequence family modeling and its application to remote homology classification, ,IEEE/SP 13th Workshop on Statistical Signal Processing, 2005

Physical activity, sedentary behaviour and metabolic control following stroke: a cross-sectional and longitudinal study, ,PloS one, Public Library of Science

Automatic assessment of problem behavior in individuals with developmental disabilities, ,Proceedings of the 2012 ACM conference on ubiquitous computing

The mobile fitness coach: Towards individualized skill assessment using personalized mobile devices, ,Pervasive and Mobile Computing, Elsevier

Rapid specification and automated generation of prompting systems to assist people with dementia, ,Pervasive and Mobile Computing, Elsevier

NMR-based urine analysis in rats: Prediction of proximal tubule kidney toxicity and phospholipidosis, ,Journal of pharmacological and toxicological methods, Elsevier

Proceedings of SRR: Wristband accelerometers to motivate arm exercise after stroke (WAVES): A pilot randomized controlled trial, ,The Society of Research in Rehabilitation 40th Anniversary and Winter Meeting, 2018.

A combined deep learning gru-autoencoder for the early detection of respiratory disease in pigs using multiple environmental sensors, ,Sensors, Volume: 18, Number: 8, Pages: 2521, 2018.

Prompting arm activity after stroke: A clinical proof of concept study of wrist-worn accelerometers with a vibrating alert function, ,Journal of rehabilitation and assistive technologies engineering, Volume: 5, Pages: 2055668318761524, 2018.

Automated tracking to measure behavioural changes in pigs for health and welfare monitoring, ,Scientific reports, Volume: 7, Number: 1, Pages: 17582, 2017.

The genetic basis of novel water utilisation and drinking behaviour traits and their relationship with biological performance in turkeys, ,Genetics Selection Evolution, Volume: 49, Number: 1, Pages: 72, 2017.

WRIST WORN ACCELEROMETERS WITH VIBRATING ALERTS TO PROMPT EXERCISES AFTER STROKE, ,

FoodBoard: surface contact imaging for food recognition, ,Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing; pages : 749--752; ACM; 2013

Automated Surgical OSATS Prediction from Videos, ,Proc. ISBI, 2014.

Non-alcoholic fatty liver disease is associated with higher levels of objectively measured sedentary behaviour and lower levels of physical activity than matched healthy controls, ,Frontline gastroenterology, vol: 6, no : 1, pages : 44--51; British Medical Journal Publishing Group, 2015.

Movement recognition technology as a method of assessing spontaneous general movements in high risk infants, ,Frontiers in Neurology; vol : 5; number : 284. 2015

Beyond Activity Recognition: Skill Assessment from Accelerometer Data, ,Proc. UbiComp, 2015

Dancing with Horses: Automated Quality Feedback for Dressage Riders, ,Proc. UbiComp, 2015

How did I do? Automatic Skill Assessment from Accelerometer Data, ,ACM GetMobile; Newcastle University, 2015

PD disease state assessment in naturalistic environments using deep learning, ,Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Rehabilitation and Recovery Physical activity, sedentary behavior and metabolic control following stroke: A cross-sectional and longitudinal study, ,International Journal of Stroke; vol : 10, 2015

CueS: cueing for upper limb rehabilitation in stroke, ,Proceedings of the 2015 British HCI Conference; pages:18-25; ACV>, 2015

Automated video-based assessment of surgical skills for training and evaluation in medical schools, ,International Journal of Computer Assisted Radiology and Surgery; Springer, 2016

Wristband accelerometers to motivate arm exercise after stroke (WAVES): Activity data from a pilot randomised controlled trial, ,Annals of Physical and Rehabilitation Medicine, volume : 62, pages : e31, Elsevier Masson, 2018

Prediction of Mood Instability with Passive Sensing, ,Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Vol 3, no. 3, 2019

Multi-target affect detection in the wild: an exploratory study, ,Proceedings of the 23rd International Symposium on Wearable Computers 2019

Automated General Movement Assessment for Perinatal Stroke, ,Smart Assisted Living: Toward An Open Smart-Home Infrastructure

PD Disease State Assessment in Naturalistic Environments Using Deep Learning, ,Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI’15). AAAI Press

Large scale population assessment of physical activity using wrist worn, ,2017

Towards Reliable, Automated General Movement Assessment for Perinatal Stroke Screening in Infants Using Wearable Accelerometers, ,Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 3.1, 2019

SNAP: SyNdetic Assistance Processes, , In Proceedings of Annual Conference on Neural Information Processing Systems Workshop on Machine Learning for Assistive Technologies.

Prompting arm activity after stroke: A clinical proof of concept study of wrist-worn accelerometers with a vibrating alert function, ,Journal of Rehabilitation and Assistive Technologies Engineering, vol. 5, pp.1–8, May 2018.

Deep Learning for Human Activity Recognition in Mobile Computing, Machine Learning; Mobile, wearable, ubiquitous computing; Activity Recognition; Deep Learning,IEEE Computer, 2018

Interioractive: smart materials in the hands of designers and architects for designing interactive interiors, ,Proceedings of the 2017 Conference on Designing Interactive Systems

Interactive Architecture: Exploring and Unwrapping the Potentials of Organic User Interfaces, ,Proc. Int. Conf. on Tangible, Embedded, and Embodied Interaction (TEI)

Real-time detection and interpretation of 3D deictic gestures for interaction with an intelligent environment, ,Pattern Recognition, 2008. ICPR 2008. 19th International Conference on, IEEE

The mobile fitness coach: Towards individualized skill assessment using personalized mobile devices, ,Pervasive and Mobile Computing, Elsevier

Rapid specification and automated generation of prompting systems to assist people with dementia, ,Pervasive and Mobile Computing, Elsevier

Gymskill: A personal trainer for physical exercises, ,Pervasive Computing and Communications (PerCom), 2012 IEEE International Conference on

The French Digital Kitchen, ,2014

Methods for Studying Technology in the Home, ,Oxford University Press, 2014.

Diri – the Actuated Helium Balloon: A Study of Autonomous Behaviour in Interfaces, ,Proc. UbiComp, 2015

Archival liveness: Designing with collections before and during cataloguing and digitization, ,The Alliance of Digital Humanities Organizations, 2015

Rehabilitation and Recovery Physical activity, sedentary behavior and metabolic control following stroke: A cross-sectional and longitudinal study, ,International Journal of Stroke; vol : 10, 2015

CueS: cueing for upper limb rehabilitation in stroke, ,Proceedings of the 2015 British HCI Conference; pages:18-25; ACV>, 2015

Automated video-based assessment of surgical skills for training and evaluation in medical schools, ,International Journal of Computer Assisted Radiology and Surgery; Springer, 2016

Wristband accelerometers to motivate arm exercise after stroke (WAVES): Activity data from a pilot randomised controlled trial, ,Annals of Physical and Rehabilitation Medicine, volume : 62, pages : e31, Elsevier Masson, 2018

Future of Ubiquitous Home Interaction with OUI Interiors, ,CHI Workshop on the future of human-building interactions, 2016

Multi-modal anchoring for human–robot interaction, ,Robotics and Autonomous Systems,vol. 43, no. 2-3, pp. 133–147, 2003

, Designing Future Ubiquitous Homes with OUI Interiors - Possibilities and Challenges.,Interaction Design and Architectures, vol. 2017, no. 32, pp. 28–37, 2017.

A Unified Model for User Identification on Multi-Touch Surfaces: A Survey and Meta-Analysis, ,ACM Transactions on Computer- Human Interaction (TOCHI), vol. 24, issue 6, article 39, 2018.

Handling Annotation Uncertatinty in Human Activity Recognition, ,International Symposium on Wearable Computers (ISWC) 2019

Ensembles of Deep LSTM Learners for Activity Recognition using Wearables, ,PACM IMWUT

Deep, Convolutional, and Recurrent Models for Human Activity Recognition using Wearables, ,Proc. IJCAI

A combined deep learning gru-autoencoder for the early detection of respiratory disease in pigs using multiple environmental sensors, ,Sensors, Volume: 18, Number: 8, Pages: 2521, 2018.

Deep, convolutional, and recurrent models for human activity recognition using wearables, ,arXiv preprint arXiv:1604.08880

Deep learning for human activity recognition in mobile computing, ,Computer, Volume: 51, Number: 5, Pages: 50-59. 2018.

PD disease state assessment in naturalistic environments using deep learning, ,Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Deep, convolutional, and recurrent models for human activity recognition using wearables, ,Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI'16), Gerhard Brewka (Ed.). AAAI Press 1533-1540

On the role of features in human activity recognition, ,Proceedings of the 23rd International Symposium on Wearable Computers, 2019

Automated General Movement Assessment for Perinatal Stroke Screening in Infants, ,Smart Assisted Living 2020

PD Disease State Assessment in Naturalistic Environments Using Deep Learning, ,Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI’15). AAAI Press

Convolutional, and Recurrent Models for Human Activity Recognition using Wearables, ,arxiv, 2016

Feature learning for activity recognition in ubiquitous computing, ,Twenty-Second International Joint Conference on Artificial Intelligence. 2011.

Deep Learning for Human Activity Recognition in Mobile Computing, Machine Learning; Mobile, wearable, ubiquitous computing; Activity Recognition; Deep Learning,IEEE Computer, 2018

Ensembles of Deep LSTM Learners for Activity Recognition using Wearables, Machine Learning, Ubiquitous and Wearable Computing, Activity Recognition,PACM IMWUT, 2017

Handling Annotation Uncertatinty in Human Activity Recognition, ,International Symposium on Wearable Computers (ISWC) 2019

Adding Structural Characteristics to Distribution-Based Accelerometer Representations for Activity Recognition using Wearables, ,International Symposium on Wearable Computers (ISWC) 2018

Ensembles of Deep LSTM Learners for Activity Recognition using Wearables, ,PACM IMWUT

Gymskill: Mobile exercise skill assessment to support personal health and fitness, ,9th Intl. Conf. on Pervasive Computing (Pervasive 2011), Video, San Francisco, CA, USA

Large scale population assessment of physical activity using wrist worn accelerometers: the UK biobank study, ,PloS one

Automated video-based assessment of surgical skills for training and evaluation in medical schools, ,International Journal of Computer Assisted Radiology and Surgery

A study of wrist-worn activity measurement as a potential real-world biomarker for late life depression, ,Bipolar Disorders

Porcine lie detectors: Automatic quantification of posture state and transitions in sows using inertial sensors, ,Computers and electronics in agriculture

Deep, Convolutional, and Recurrent Models for Human Activity Recognition using Wearables, ,Proc. IJCAI

How did I do?: Automatic Skill Assessment from Activity Data, ,GetMobile: Mobile Computing and Communications

Optimising sampling rates for accelerometer-based human activity recognition, ,{Pattern Recognition Letters},

Bootstrapping Personalised Human Activity Recognition Models Using Online Active Learning, ,Proc. IUCC

Dancing with Horses: Automated Quality Feedback for Dressage Riders, ,{Proc. UbiComp

Beyond Activity Recognition: Skill Assessment from Accelerometer Data, ,

Let’s (not) Stick Together: Pairwise Similarity Biases Cross-Validation in Activity Recognition, ,Proc. UbiComp

BlobSnake: Gamification of Feature Extraction for ‘Plug and Play’Human Activity Recognition.},, ,Proceedings of the 2015 British HCI Conference

Real-time activity recognition for food preparation, ,Proceedings of the IEEE International Conference on Computing and Communication Technologies

How to do good research in activity recognition, ,Proceedings of the Workshop on “How to do good research in Activity Recognition”(in conjunction with Pervasive. Helsinki, Finland

Proceedings of SRR: Wristband accelerometers to motivate arm exercise after stroke (WAVES): A pilot randomized controlled trial, ,The Society of Research in Rehabilitation 40th Anniversary and Winter Meeting, 2018.

Sensor-Based Actor Identification in the Kitchen, ,Workshop on Frontiers in Activity Recognition using Pervasive Sensing, Pervasive Computing, 2011.

A combined deep learning gru-autoencoder for the early detection of respiratory disease in pigs using multiple environmental sensors, ,Sensors, Volume: 18, Number: 8, Pages: 2521, 2018.

Wristband accelerometers to motivate arm exercise after stroke (WAVES): Activity data from a pilot randomised controlled trial, ,Annals of Physical and Rehabilitation Medicine, Volume: 61, Pages: e31, 2018.

ISWC 2017: Riding the Waves of Wearables, ,IEEE Pervasive Computing, Volume: 17, Number: 2, Pages: 78-83, 2018.

Deep, convolutional, and recurrent models for human activity recognition using wearables, ,arXiv preprint arXiv:1604.08880

Deep learning for human activity recognition in mobile computing, ,Computer, Volume: 51, Number: 5, Pages: 50-59. 2018.

FingerPing: Recognizing Fine-grained Hand Poses using Active Acoustic On-body Sensing, ,Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, Pages: 437, ACM, 2018.

Prompting arm activity after stroke: A clinical proof of concept study of wrist-worn accelerometers with a vibrating alert function, ,Journal of rehabilitation and assistive technologies engineering, Volume: 5, Pages: 2055668318761524, 2018.

FingerSound: Recognizing unistroke thumb gestures using a ring, ,Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume: 1, Number: 3, Pages: 120, 2017.

FingOrbits: interaction with wearables using synchronized thumb movements, ,Proceedings of the 2017 ACM International Symposium on Wearable Computers, Pages: 62-65, 2017.

WRIST WORN ACCELEROMETERS WITH VIBRATING ALERTS TO PROMPT EXERCISES AFTER STROKE, ,

Activity recognition for quality assessment of batting shots in cricket using a hierarchical representation, ,Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume: 1, Number: 3, Pages: 62, 2017.

FoodBoard: surface contact imaging for food recognition, ,Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing; pages : 749--752; ACM; 2013

Automated Surgical OSATS Prediction from Videos, ,Proc. ISBI, 2014.

Using Unlabeled Data in a Sparse-coding Framework for Human Activity Recognition, ,Pervasive and Mobile Computing, Elsevier, 2014

On Strategies for Budget-Based Online Annotation in Human Activity Recognition, ,Adjunct Proceedings of UbiComp, 2014

Video Based Assessment of OSATS Using Sequential Motion Textures, ,Proceedings of M2CAI, 2014.

Occupancy monitoring using environmental & context sensors and a hierarchical analysis framework., ,In Proceedings of the 1st ACM Conference on Embedded Systems for Energy-Efficient Buildings (BuildSys '14). ACM, New York, NY, USA, 90-99.

Non-alcoholic fatty liver disease is associated with higher levels of objectively measured sedentary behaviour and lower levels of physical activity than matched healthy controls, ,Frontline gastroenterology, vol: 6, no : 1, pages : 44--51; British Medical Journal Publishing Group, 2015.

Movement recognition technology as a method of assessing spontaneous general movements in high risk infants, ,Frontiers in Neurology; vol : 5; number : 284. 2015

Camera-Based Whiteboard Reading for Understanding Mind Maps, ,International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), 2915.

Let’s (not) Stick Together: Pairwise Similarity Biases Cross-Validation in Activity Recognition, ,Proc. UbiComp, 2015

Beyond Activity Recognition: Skill Assessment from Accelerometer Data, ,Proc. UbiComp, 2015

Diri – the Actuated Helium Balloon: A Study of Autonomous Behaviour in Interfaces, ,Proc. UbiComp, 2015

Dancing with Horses: Automated Quality Feedback for Dressage Riders, ,Proc. UbiComp, 2015

Bootstrapping Personalised Human Activity Recognition Models Using Online Active Learning, ,Proc. IUCC, 2015

How did I do? Automatic Skill Assessment from Accelerometer Data, ,ACM GetMobile; Newcastle University, 2015

PD disease state assessment in naturalistic environments using deep learning, ,Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Rehabilitation and Recovery Physical activity, sedentary behavior and metabolic control following stroke: A cross-sectional and longitudinal study, ,International Journal of Stroke; vol : 10, 2015

BlobSnake: Gamification of Feature Extraction for ‘Plug and Play’Human Activity Recognition., ,Proceedings of the 2015 British HCI Conference,; pages=74--81; ACM, 2015

Deep, convolutional, and recurrent models for human activity recognition using wearables, ,Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI'16), Gerhard Brewka (Ed.). AAAI Press 1533-1540

Automated video-based assessment of surgical skills for training and evaluation in medical schools, ,International Journal of Computer Assisted Radiology and Surgery; Springer, 2016

Wristband accelerometers to motivate arm exercise after stroke (WAVES): Activity data from a pilot randomised controlled trial, ,Annals of Physical and Rehabilitation Medicine, volume : 62, pages : e31, Elsevier Masson, 2018

On the role of features in human activity recognition, ,Proceedings of the 23rd International Symposium on Wearable Computers, 2019

PD Disease State Assessment in Naturalistic Environments Using Deep Learning, ,Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI’15). AAAI Press

Convolutional, and Recurrent Models for Human Activity Recognition using Wearables, ,arxiv, 2016

Automated Detection of Infant Holding Using Wearable Sensing: Implications for Developmental Science and Intervention, ,Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 3 no. 2, 2019

Towards Reliable, Automated General Movement Assessment for Perinatal Stroke Screening in Infants Using Wearable Accelerometers, ,Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 3.1, 2019

Evaluating ubiquitous systems with users, ,Ambient Intelligence 2007

How did I do? Automatic Skill Assessment from Accelerometer Data, ,ACM GetMobile. 2015

Feature learning for activity recognition in ubiquitous computing, ,Twenty-Second International Joint Conference on Artificial Intelligence. 2011.

Markov Models for Handwriting Recognition, ,Springer London, 2011

Towards a pervasive kitchen infrastructure for measuring cooking competence, ,In 2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops, pp. 107-114. IEEE, 2011.

Habitual physical activity in mitochondrial disease, ,PLoS One, 6(7), e22294.

Cueing for drooling in Parkinson’s disease, ,Proceedings of the SIGCHI conference on Human Factors in Computing Systems. ACM, 2011.

Robust hand detection in still video images using a combination of salient regions and color cues for interaction with an intelligent environment, ,Pattern Recognition and Image Analysis 18.3 (2008): 417-430.

Towards feature learning for hmm-based offline handwriting recognition, ,International Workshop on Frontiers in Arabic Handwriting Recognition. 2010.

Activity recognition and healthier food preparation, ,Activity Recognition in Pervasive Intelligent Environments. Atlantis Press, 2011. 313-329.

Physical activity intensity but not sedentary activity is reduced in chronic fatigue syndrome and is associated with autonomic regulation, ,QJM: An International Journal of Medicine 104.8 (2011): 681-687.

Detecting hands in video images using scale invariant local descriptors, ,Proceedings of IASTED Int. Conf. on Visualization, Imaging and Image Processing (VHP 2007). 2007

A dynamic time warping approach to real-time activity recognition for food preparation, ,International Joint Conference on Ambient Intelligence. Springer, Berlin, Heidelberg, 2010

Developing pattern recognition systems based on Markov models: The ESMERALDA framework, ,Pattern Recognition and Image Analysis 18.2 (2008): 207-215.

Unsupervised estimation of writing style models for improved unconstrained off-line handwriting recognition., ,2006.

Markov models for offline handwriting recognition: a survey, , International Journal on Document Analysis and Recognition (IJDAR) 12.4 (2009): 269.

Multi-modal anchoring for human–robot interaction, ,Robotics and Autonomous Systems,vol. 43, no. 2-3, pp. 133–147, 2003

Prompting arm activity after stroke: A clinical proof of concept study of wrist-worn accelerometers with a vibrating alert function, ,Journal of Rehabilitation and Assistive Technologies Engineering, vol. 5, pp.1–8, May 2018.

Comparing Regional Patterns of Individual Movement Using Corrected Mobility Entropy, ,Journal of Urban Tech- nology, vol. 0, no. 0, pp. 1–35, May 2018.

Deep Learning for Human Activity Recognition in Mobile Computing, Machine Learning; Mobile, wearable, ubiquitous computing; Activity Recognition; Deep Learning,IEEE Computer, 2018

Ensembles of Deep LSTM Learners for Activity Recognition using Wearables, Machine Learning, Ubiquitous and Wearable Computing, Activity Recognition,PACM IMWUT, 2017