Hand Gesture Recognition Systems

This paper develops a magnetomyography-based system for gesture recognition, achieving high accuracy and cross-participant performance, suggesting its potential as a generalizable alternative to sEMG.

The paper presents a framework to assess VR hand-tracking accuracy, finding average positional error of 1.1cm, joint angle error of 9.6°, and delay of 38ms for the Oculus Quest 2.