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Article http://dx.doi.org/10.26855/jamc.2023.03.015

Human-computer Interactive Gesture Control Recognition Based on High-performance Embedded AI Computing Platform

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Dongwei Fu

Chongqing Finance and Economics College, Chongqing, China.

*Corresponding author: Dongwei Fu

Published: May 6,2023

Abstract

Aiming at the development of gesture control contactless human-computer interaction in intelligent embedded application system, this paper deeply discusses the application and deployment process of deep learning, uses Huawei Atlas 200 as an intelligent computing platform to realize the logical reasoning of deep learning, and uses the camera to collect relevant gesture information, and uses Atlas 200 to achieve the acquisition of gesture information data, reducing the difficulty of intelligent gesture recognition in embedded system, Improved recognition speed. The human-computer interaction development method based on gesture control studied in this paper mainly includes the following two parts: First, in the intelligent embedded system, an intelligent computing platform is built using Atlas 200 to collect and preprocess gesture recognition data, and a deep learning algorithm is used to realize gesture recognition; Secondly, Atlas 200 is used to obtain image and motion feature data, and deep neural network algorithm is used for gesture recognition.

Keywords

Embedded intelligent computing platform, Deep learning; Hand gesture recogni-tion, Non-contact human-computer interaction

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How to cite this paper

Human-computer Interactive Gesture Control Recognition Based on High-performance Embedded AI Computing Platform

How to cite this paper: Dongwei Fu. (2023) Human-computer Interactive Gesture Control Recognition Based on High-performance Embedded AI Computing Platform. Journal of Applied Mathematics and Computation, 7(1), 142-147.

DOI: http://dx.doi.org/10.26855/jamc.2023.03.015