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

10/18/2019

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by   Dennis Núñez-Fernández, et al.

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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 consumption.