• Two papers accepted to Ubicomp/ISWC 2020!

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  • Best Student Paper Award at Learning@Scale 2020

    Congratulations to lead author Qiaosi (Chelsea) Wang and CBA co-authors Hong Li and Thomas Ploetz!

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  • 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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  • Four papers accepted at Ubicomp/ISWC 2021!

    Congratulations to Shruthi Hiremath, Hyeok Kwon and Harish Haresamudram! They will present their papers at Ubicomp/ISWC 2021.

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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:

Deriving Effective Human Activity Recognition Systems through Objective Task Complexity Assessment

Shruthi K Hiremath, Thomas Plötz

Contrastive predictive coding for human activity recognition

Harish Haresamudram, Irfan Essa, Thomas Plötz

Applying Machine Learning for Sensor Data Analysis in Interactive Systems: Common Pitfalls of Pragmatic Use and Ways to Avoid Them

Thomas Plötz

Approaching the Real-World: Supporting Activity Recognition Training with Virtual IMU Data

Hyeokhyen Kwon, Bingyao Wang, Gregory D Abowd, Thomas Plötz


Our research is supported by grants from: