CBA Lab @Georgia Tech


address: CODA, 756 W Peachtree St NW, Atlanta, GA 30308

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.

selected publications

  1. ISWC
    Generating Virtual On-Body Accelerometer Data from Virtual Textual Descriptions for Human Activity Recognition
    Leng, Zikang, Kwon, Hyeokhyen, and Ploetz, Thomas
    In Proceedings of the 2023 ACM International Symposium on Wearable Computers 2023
  2. Percom
    If only we had more data!: Sensor-Based Human Activity Recognition in Challenging Scenarios
    Plötz, Thomas
    In 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) 2023
  3. IMWUT
    Bootstrapping Human Activity Recognition Systems for Smart Homes from Scratch
    Hiremath, Shruthi K., Nishimura, Yasutaka, Chernova, Sonia, and Plötz, Thomas
    Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Sep 2022
  4. IMWUT
    Assessing the State of Self-Supervised Human Activity Recognition Using Wearables
    Haresamudram, Harish, Essa, Irfan, and Plötz, Thomas
    Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Sep 2022
  5. ACM
    Applying machine learning for sensor data analysis in interactive systems: Common pitfalls of pragmatic use and ways to avoid them
    PlĂ–tz, Thomas
    ACM Computing Surveys (CSUR) Sep 2021
  6. ACM
    IMUTube: Automatic extraction of virtual on-body accelerometry from video for human activity recognition
    Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Sep 2020