Development of a hand pose recognition system on an embedded computer using CNNs

Code

• github.com/dennishnf/cnn-hand-gesture-interface
  OfficialIn papernone★ 23

Abstract

Demand of hand pose recognition systems are growing in the last years in technologies like human-machine interfaces. This work suggests an approach for hand pose recognition in embedded computers using hand tracking and CNNs. Results show a fast time response with an accuracy of 94.50% and low power consumption.

Reproductions