GestureAR
Finger tracking and real-time overlays. Control LEDs based on hand position while augmenting faces.
Problem
Map expressive hand gestures into understandable outputs across LEDs and AR overlays without latency or ambiguity.
Process
Prototyped in Python with OpenCV for hand landmarks and face detection, then tuned thresholds and smoothing for consistent UX. Designed overlays to remain legible and non-intrusive.
Hand Detection
LED Control
AR Overlay
Outcome
Responsive, readable overlays and reliable physical feedback. Next steps: model-based gesture classification and a web UI for profiles.