Experimenting With a Real-Time Sign Language Avatar

Mugi updates her project by moving from a single-camera setup to a dual-camera solution, improving motion capture accuracy and overall system reliability

Munkhchimeg Sergelen explains how SignMate avatars are created and why clean, precise motion data is essential for accurate ASL handshapes and movements.

Mugi tests Plask and FreeMoCap for ASL motion capture, comparing how well they track gestures and outlining strengths, limits, and animation challenges.

Mugi shares early SignMate experiments capturing ASL motion, testing MediaPipe, RPM, and ASL Mocap datasets to evaluate gesture accuracy and complexity.