AlphaHand

EEG Finger Movement Identification Research

Featured run

2-m16 · 2026-03-19

89.79% action · 87.01% finger on non-REST

Primary holdout

84.66% joint accuracy

98.37% REST TPR

18.57% applicability FP on true REST

Pseudo-live replay

93.32% would-send precision

86.64% committed joint accuracy

0.12% false REST actuation

Published corpus

4,953 test windows

4,532 non-REST across 2 published runs

AlphaHand robot hand prototype

Featured figures

Current confusion matrices

The current featured bundle includes confusion, calibration, and replay artifacts. Start on the results page for the full context.

Open results
Action confusion matrix for 2-m16
Action confusion matrix
Finger confusion matrix for 2-m16
Finger confusion matrix on non-REST windows

Latest update

2-M16 winning model refresh

See the updates page for the dated release note.