  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.
