Thomas Ploetz
Professor and Associate Chair of Graduate Studies
Develops machine learning for wearable sensor data and human activity recognition in computational behavior analysis.
Thomas Ploetz's lab at Georgia Tech works on recognition, detection & segmentation. 34 papers since 2023, 2 at top venues, mostly AAAI and CHI. 6 PhD students and 3 master's students. 66 alumni. Applications close .
At a glance
- papers, 2023–2026
- 9/ year
- at T1 venues
- 6%
- PhD students
- 6
- MS students
- 3
- alumni listed
- 66
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 7 papers2025 · T1 2
- 10 papers2024 · T1 0
- 17 papers2023 · T1 0
T1 venuesOtherVenues: AAAI, CHI, TIST
Research focuspaper titles that use each topic's words
- Recognition, detection & segmentation25 papers
- activity recognition20 papers
- human activity16 papers
- behavior analysis1 paper
- sensor data0 papers
Paper list
From the lab homepage.
20257 papers
- TISTCross-domain har: Few-shot transfer learning for human activity recognition
- Journal of Diabetes Science and TechnologyIntelligent Care Management for Diabetic Foot Ulcers: A Scoping Review of Computer Vision and Machine Learning Techniques and Applications
- Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous TechnologiesLayout-agnostic human activity recognition in smart homes through textual descriptions of sensor triggers (tdost)
- AAAI (T1)Limitations in Employing Natural Language Supervision for Sensor-Based Human Activity Recognition-And Ways to Overcome Them
- Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous TechnologiesPast, present, and future of sensor-based human activity recognition using wearables: A surveying tutorial on a still challenging task
- CHI (T1)ProxiCycle: Passively Mapping Cyclist Safety Using Smart Handlebars for Near-Miss Detection
- ACM Computing SurveysTransfer learning in sensor-based human activity recognition: A survey
202410 papers
- International Conference on Big Data Analytics (ICBDA)A Synergistic Large Language Model and Supervised Learning Approach to Zero-Shot and Continual Activity Recognition in Smart Homes
- International Conference on Activity and Behavior Computing (ABC)A Washing Machine is All You Need? On the Feasibility of Machine Data for Self-Supervised Human Activity Recognition
- IEEE International Conference on Body Sensor Networks (BSN)Basketball Shooting Performance Analysis Using Multi-Modal Wearable and Mobile Sensing in Semi-Naturalistic Settings
- Companion of the on ACM International Joint Conference on Pervasive and Ubiquitous ComputingEmotion Recognition on the Go: Utilizing Wearable IMUs for Personalized Emotion Recognition (opens in a new tab)
- International Conference on Activity and Behavior Computing (ABC)Game of LLMs: Discovering Structural Constructs in Activities using Large Language Models
- Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous TechnologiesImugpt 2.0: Language-based cross modality transfer for sensor-based human activity recognition
- Proceedings of the ACM International Symposium on Wearable ComputersMore Data for People with Disabilities! Comparing Data Collection Efforts for Wheelchair Transportation Mode Detection
- Journal of Ambient Intelligence and Smart EnvironmentsSensor event sequence prediction for proactive smart home: A GPT2-based autoregressive language model approach
- SensorsTowards Learning Discrete Representations via Self-Supervision for Wearables-Based Human Activity Recognition
- SensorsUsing Graphs to Perform Effective Sensor-Based Human Activity Recognition in Smart Homes
202317 papers
- International Conference on Machine Learning and Applications (ICMLA)ALLFA: Active Learning Through Label and Feature Augmentation
- Proceedings of the International Symposium on Wearable ComputersChallenges in Using Skin Conductance Responses for Assessments of Information Worker Productivity
- Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous TechnologiesConvBoost: Boosting ConvNets for Sensor-based Activity Recognition
- ACM Transactions on Interactive Intelligent SystemsExplainable activity recognition for smart home systems
- IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)Extraction of Important Temporal Order for eXplainable AI on Time-series data
- Proceedings of the International ACM SIGACCESS Conference on Computers and AccessibilityFingerSpeller: Camera-Free Text Entry Using Smart Rings for American Sign Language Fingerspelling Recognition
- Proceedings of the ACM International Symposium on Wearable ComputersGenerating Virtual On-Body Accelerometer Data from Virtual Textual Descriptions for Human Activity Recognition (opens in a new tab)
- Proceedings of the International Symposium on Wearable ComputersHow Much Unlabeled Data is Really Needed for Effective Self-Supervised Human Activity Recognition?
- IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)If only we had more data!: Sensor-Based Human Activity Recognition in Challenging Scenarios
- IEEE International Conference on Pervasive Computing and Communications (PerCom)Investigating enhancements to contrastive predictive coding for human activity recognition
- IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)Keynote: Computational Behavior Analysis-Pushing the Boundaries Towards Usable Digital Health
- EPJ Data ScienceLeveraging WiFi network logs to infer student collocation and its relationship with academic performance
Where alumni went66 listed
Apply to Georgia TechFall 2027
Georgia Tech Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- optional
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
Similar labsnearest by research summary
- GBUCL
David Barber
- Probabilistic & causal inference
- USUW
Kevin Jamieson
- Reinforcement learning
- CNTsinghua
Chao Shang
- Reinforcement learning
- USNYU
Rumi Chunara
- Trustworthy & safe ML
- USUIUC
Jingrui He
- Reinforcement learning
- USUT Austin
Risto Miikkulainen
- Computational neuroscience & cognition
Your notes
Save this lab to keep notes.
Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
Georgia Techcloses