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 figures and visuals

The current featured bundle includes confusion, calibration, replay, and latent-space 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

PCA · Full dataset

Full-dataset PCA colored by true finger

Each point is one EEG window, projected into three principal components and colored by the labeled finger.

Separated regions suggest structured learned organization, while overlap marks similar or harder windows.

Latest update

2-M16 winning model refresh

See the updates page for the dated release note.