~/talk

EMPress: Practical Hand Gesture Classification with Wrist-Mounted EMG and Pressure Sensing

Talkat CHI 2016 · 2016-05-07..05-12· [embedded-and-hardware, machine-learning]
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Wrist-mounted system combines four pairs of EMG electrodes and four pressure sensors (FSRs), runs an SVM with RBF kernel, and is evaluated with 12 participants performing 15 gestures ten times each. EMG alone averages ~86% accuracy, pressure outperforms EMG on wrist rotations by ~10%, EMG outperforms pressure on finger flexions by ~5%, and the combined sensor set reaches 96% 10-fold cross-validated accuracy. Wet electrodes plus foam remove pressure artefacts to isolate the complementary signals.

AI-written summary · about

  1. 0:00Introduction
  2. 4:50Hypothesis
  3. 7:05Results
  4. 10:00Summary
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