Projects that connect AI, sensing, and human behavior.
My work spans virtual sensor generation, multimodal learning, wearable computing, and inclusive human-centered systems. These projects share one goal: making behavioral AI more scalable, realistic, and useful.

EduGage
Can sensing help us understand when a learner is truly engaged?
EduGage combines PPG, ECG, EDA, EEG, IMU, heart rate, temperature, eye tracking, and interaction data with in-situ engagement reports. The project contributes both a multimodal dataset and practical evidence for lightweight sensing combinations.

AgentSense
Smart-home sensor data, generated by agents that live there.
LLMs create diverse personas and routines; embodied agents execute them in an extended VirtualHome simulator instrumented with ambient sensors. Pretraining on this data improves recognition, especially when real data is limited.


Emotion recognition on the go
Personalized emotion recognition using wearable IMUs, with virtual motion data supporting model pretraining and adaptation.
Paper

Wheelchair transportation sensing
Comparing data-collection strategies for transportation-mode detection with wheelchair users, recognized with a Best Paper nomination.
Paper