FRL Discrete Gestures: Hand Gesture Recognition from Surface Electromyography

This dataset comprises wrist-based surface electromyography (sEMG) recordings from 100 participants performing nine discrete hand gestures (four thumb swipes, four finger-to-thumb pinches, and one thumb tap) for gesture-based human-computer interaction. Recorded using a 16-channel sEMG research device at 2000 Hz, the dataset contains 1900 prompted gesture trials with event annotations and electrode coordinates. The data supports development of generic, user-independent gesture classification models for real-time control of AR/VR interfaces, mobile devices, and accessibility applications.