Gesture Recognition and Control based on Visible Light Communication
作者单位：Department of Strategic and Advanced Interdisciplinary ResearchPeng Cheng Laboratory Shenzhen International Graduate SchoolTsinghua University School of AutomationCentral South University
会议名称：《第43届中国控制会议》
会议日期：1000年
学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 080203[工学-机械设计及理论] 0835[工学-软件工程] 0802[工学-机械工程] 0803[工学-光学工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
关 键 词：Visible Light Communication Gesture Recognition Human-Computer Interaction Machine Learning
摘 要：The evolution of human-computer interaction(HCI),particularly in the era of the Internet of Things(IoT),demands innovative solutions that transcend traditional interfaces like keyboards and *** study introduces a visible light communication(VLC) based sensing system for non-contact gesture recognition in *** system utilizes a cost-effective VLC setup optimized for indoor environments,ensuring precise signal transmission and *** data acquisition and processing board can accurately capture and analyze light-based hand gesture *** process is supported by a comprehensive signal processing framework that includes data preprocessing steps and robust machine learning *** algorithms are designed to detect subtle light pattern variations due to gestures,ensuring an accurate and responsive recognition *** system s effectiveness is confirmed by its high gesture recognition accuracy of 95.7%.The study s key contributions include the development of a VLC-based system for gesture recognition and control,the integration of diverse signal processing techniques suitable for VLC-based data,and the successful demonstration of the system s practical application through extensive experimental *** evaluations have validated the system s efficacy in real-world scenarios,marking an advancement in VLC-enabled *** research highlights VLC s potential as a user-friendly and efficient interface in HCI,offering more intuitive and responsive interactions in smart environments.