HardwarePhys.org Technologyabout 1 hour ago
Smartwatches Learn Hand Gestures via Sensors
5 min read
Northwestern University engineers presented two smartwatch studies, TransfHAR and EITWatch, on Nov. 3 in Detroit. EITWatch uses eight electrodes to recognize six gestures with over 92% accuracy. TransfHAR uses motion sensors to learn new activities with 90% accuracy after one minute of recording.
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