Development of a Hand Gesture Based Control Interface Using Deep Learning

Núñez-Fernández D. · Communications in Computer and Information Science (2020) · DOI: 10.1007/978-3-030-46140-9_14

Resumen

This paper describes the implementation of a control system based on ten different hand gestures, providing a useful approach for the implementation of better user-friendly human-machine interfaces. Hand detection is achieved using fast detection and tracking algorithms, and classification by a light convolutional neural network. The experimental results show a real-time response with an accuracy of 95.09%, and making use of low power consumption. These results demonstrate that the proposed system could be applied in a large range of applications such as virtual reality, robotics, autonomous driving systems, human-machine interfaces, augmented reality among others. © Springer Nature Switzerland AG 2020.

Instituciones: Universidad Nacional de Ingeniería