Research
Real-Time Depression Detection via Micro-Expressions
A privacy-first Android pipeline for user-consented front-camera snippets and continuous depression-risk monitoring through micro-expression cues.
2025 - ongoing
Technical overview
This ongoing research project explores micro-expression features including action-unit dynamics, blink rate, and smile asymmetry for mental-health signal analysis.
Samples short, user-consented front-camera snippets during natural interaction moments.
Extracts action unit dynamics, smile frequency and asymmetry, and blink-rate features.
Designed for local processing with no cloud dependency to protect user privacy.