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基于嵌入式动态手势跟踪识别系统研究

Research on Tracking and Recognition System Based on Embedded Dynamic Gesture
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摘要 人的手势由于简洁性和广泛的应用场景成为智慧生活技术研究一大热点与新发展方向。基于嵌入式的动态跟踪手势识别系统是在研究人体手势的运动形态和手部的运动姿势特点下,研究一种自动跟踪手势识别的技术系统。USB摄像头将自动采集手势并进行PC端显示。该系统采用ARM9架构以Linux操作系统为主要研究开发平台,利用背景建模算法,设计相应的程序以达到识别连续手势姿态的目的。此系统能较好手势,具有较的适用性。 Human gestures have become a major hotspot and new development direction in the technical research of smart life due to its simplicity and wider application scenarios.Based on this embedded dynamic tracking gesture recognition system,it studies a technical system for automatic tracking gesture recognition based on the study of the movement form of human gestures and the characteristics of the movement posture of the hand.The USB camera will automatically collect the gestures and display them on the PC side.The system uses the ARM9 architecture and Linux operating system as the main research and development platform,uses background modeling algorithms and designs corresponding programs to achieve the purpose of recognizing continuous gestures.This system can better achieve the purpose of gesture recognition and has high applicability.
作者 丁闯 徐宏宇 DING Chuang;XU Hong-yu(School of Electronic And Information Engineering,Shenyang Aerospace University,Liaoning 110136,China)
出处 《通信电源技术》 2020年第15期65-67,70,共4页 Telecom Power Technology
关键词 智慧生活 嵌入式 LINUX 手势追踪 smart life embedded Linux gesture tracking
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