Daniel Scarafoni wins Outstanding Achievement in Robotic Orchestration at the UnixWorld Challenge!read more
Hyeok wins the consolation prize in the Emteq activity recognition challenge!read more
6 papers accepted at Ubicomp/ISWC 2019!read more
CBA moves to CODA!
Find us on the 15th floor! Plus, we have spectacular views!
ACII Keynote: "Quo Vadis, Computational Behavior Analysis?"read more
CBA Lab @GeorgiaTech
We are the Computational Behavior Analysis (CBA) research lab at Georgia Institute of Technology.
Our research agenda focuses on applied machine learning, that is developing systems and innovative sensor data analysis methods for real world applications. Primary application domain for our work is computational behavior analysis where we develop methods for automated and objective behavior assessments in naturalistic environments. Main driving functions for our work are “in the wild" deployments and as such the development of systems and methods that have a real impact on peoples’ lives.
Prediction of Mood Instability with Passive Sensing
Handling annotation uncertainty in human activity recognition
On the role of features in human activity recognition
Multi-target affect detection in the wild: an exploratory study
Automated Detection of Infant Holding Using Wearable Sensing: Implications for Developmental Science and Intervention
Deep Learning for Human Activity Recognition in Mobile Computing
Ensembles of Deep LSTM Learners for Activity Recognition using Wearables
Our research is supported by grants from: