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

Dennis Núñez Fernández

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.