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基于手势传感器的智能人机交互识别系统设计 被引量:3

Design of Intelligent Human Computer Interaction Recognition System Based on Gesture Sensor
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摘要 随着现代社会信息化和智能化程度越来越高,人机交互技术已成为当今应用普遍的科技成果之一。“手势”可以作为输入图像信息,更加直观便捷的感知用户界面,在一定程度上能够完成人与计算机的智能交互功能。本设计是基于手势传感器的智能人机交互手势识别系统,以STM32芯片作为主控单元,对手势传感器PAJ7620采集来的不同手势进行精准识别、分析处理以及控制OLED屏显示出手势的信息,可进一步驱动载体采取相应动作,实现了手势的智能人机交互识别。经测试结果表明,该系统人机距离在0~10cm之间,识别率接近100%;距离在10~25cm之间,识别率可以达到60%以上;距离大于25cm,识别率接近0。所以该系统识别最大范围在25cm以内,距离在10cm以内识别率最高。 With the increasing degree of information and intelligence in modern society,human-computer interaction technology has become one of the most widely used scientific and technological achievements"Gesture"can be used as input image information,more intuitive and convenient perception user interface,to a certain extent,can complete the intelligent interaction function between human and computer.The design is an intelligent human-computer interaction gesture recognition system based on gesture sensor.STM32 chip is used as the main control unit to accurately recognize,analyze and process different gestures collected by the gesture sensor PAJ7620,and control the OLED screen to display the gesture information,which can further drive the carrier to take corresponding actions and realize the intelligent human-computer interaction recognition of gestures.The test results show that the human-machine distance of the system is between 0 cm and 10 cm,and the recognition rate is close to 100%;When the distance is between 10 cm and 25 cm,the recognition rate can reach more than 60%;The distance is more than 25cm,and the recognition rate is close to 0.Therefore,the maximum recognition range of the system is within 25cm,and the recognition rate is the highest when the distance is within 10cm.
作者 王建亮 蒙源 李芳芳 WANG Jian-liang;MENG Yuan;LI Fang-fang(Tianjin College,University of Science and Technology Beijing,Tianjin 301830;Tianjin Tianshi College,Tianjin 301700;Hebei Electronic Information Products Supervision and Inspection Institute,Shijiazhuang Hebei 050071)
出处 《数字技术与应用》 2021年第5期112-114,共3页 Digital Technology & Application
基金 2018年天津市教委科研计划项目(2018KJ272)。
关键词 手势识别系统 智能人机交互 手势传感器PAJ7620 Hand gesture recognition Intelligent human computer interaction Gesture sensor PAJ7620
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