Dominic Labanowski

This paper demonstrates that wearable magnetometers can achieve high accuracy in silent speech recognition, outperforming existing methods and showing generalizability across users.

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.

This paper investigates magnetomyography (MMG) by simultaneously recording it with surface electromyography (sEMG) during muscle contractions, finding linear correlation with contraction intensity and differences in frequency content.