• Daniel Scarafoni wins Outstanding Achievement in Robotic Orchestration at the UnixWorld Challenge!

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  • Hyeok wins the consolation prize in the Emteq activity recognition challenge!

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  • 6 papers accepted at Ubicomp/ISWC 2019!

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  • CBA moves to CODA!

    Find us on the 15th floor! Plus, we have spectacular views!

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  • ACII Keynote: "Quo Vadis, Computational Behavior Analysis?"

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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.

Recent Publications:

Prediction of Mood Instability with Passive Sensing

Morshed, Mehrab Bin and Saha, Koustuv and Li, Richard and D'Mello, Sidney K and De Choudhury, Munmun and Abowd, Gregory D and Ploetz, Thomas

Handling annotation uncertainty in human activity recognition

Kwon, Hyeokhyen and Abowd, Gregory D and Ploetz, Thomas

On the role of features in human activity recognition

Haresamudram, Harish and Anderson, David V and Ploetz, Thomas

Multi-target affect detection in the wild: an exploratory study

Schmidt, Philip and Durichen, Robert and Reiss, Attila and Van Laerhoven, Kristof and Ploetz, Thomas

Automated Detection of Infant Holding Using Wearable Sensing: Implications for Developmental Science and Intervention

Yao, XUEWEN and Ploetz, THOMAS and Johnson, MCKENSEY and Barbaro, K de

Deep Learning for Human Activity Recognition in Mobile Computing

Thomas Ploetz, Yu Guan

Ensembles of Deep LSTM Learners for Activity Recognition using Wearables

Yu Guan, Thomas Ploetz


Our research is supported by grants from: