Friday, July 24, 2020

3D hand-sensing wristband uses a Raspberry Pi for machine learning #piday #raspberrypi @Raspberry_Pi

via raspberry pi pod and micro:bit base

Researchers from Cornell and the University of Wisconsin, Madison, have designed a wrist-mounted device that tracks the entire human hand in 3D. The device (pictured) uses the contours from the wearer’s wrist to create an abstraction of 20 finger joint positions. The FingerTrak bracelet uses low-resolution thermal cameras that read the wrist contours and a tethered Raspberry Pi 4 and machine learning to teach itself what the hand is doing based on these readings.

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