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手势识别系统的研究与实现 被引量:1

Research and Implementation of Gesture Recognition System
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摘要 设计了一种手势识别系统,系统以MSP430单片机为主控器,以FDC2214传感器为检测核心,实现了学习和判决两种工作模式。经过反复测试准确率可以达到96%以上。本系统便于携带、不受光线强弱影响,对于现实应用有很高的价值。 In this paper,a gesture recognition system is designed.The system uses MSP430 microcontroller as the master controller and FDC2214 sensor as the detection core to realize two working modes:learning and decision.After repeated testing,the accuracy can reach more than 96%.The system is easy to carry,not affected by light intensity,and has a high value for practical applications.
作者 高明亮 陈明月 Gao Mingliang;Chen Mingyue(Shenyang Institute of Engineering College of Automation,Shenyang Liaoning 110136,China)
出处 《山西电子技术》 2023年第3期87-89,共3页 Shanxi Electronic Technology
关键词 MSP430 FDC2214 手势识别 LC谐振回路 MSP430 FDC2214 gesture recognition LC resonance loop
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  • 1刘进,张天序.图像不变矩的推广[J].计算机学报,2004,27(5):668-674. 被引量:47
  • 2Van den Bergh M, Van Gool L. Combining RGB and ToF cameras for real-time 3D hand gesture interaction[C]//IEEE Workshop on Application of Computer Vision. Piscataway, N J, USA: IEEE, 2011: 66-72.
  • 3Pang Y Y, Ismail N A, Gilbert P L S. A real time vision-based hand gesture interaction[C]//4th Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation. Piscataway, NJ, USA: IEEE, 2010: 237-242.
  • 4Kao M C, Li T H S. Design and implementation of interaction system between humanoid robot and human hand gesture[C]//Proceeding of SICE Annual Conference. Piscataway, NJ, USA: IEEE, 2010: 1616-1621.
  • 5Lee S, Choi J, Oh S, et al. A real-time 3D IR camera based on hierarchical orthogonal coding[C]//IEEE International Conference on Robotics and Automation. Piscataway, NJ, USA: IEEE, 2006: 2035-2040.
  • 6Huang J, Ma Z, Hu Y, et al. Robotic 3D structured light scanning system based on external axle[C]//International Conference on Intelligent Computation Technology and Automation. Piscataway, NJ, USA: IEEE, 2008:1126-1129.
  • 7Hu M K. Visual pattem recognition by moment invariants[J]. IRE Transactions on Information Theory, 1962, 8(2): 179-187.
  • 8Murthy G R S, Jadon R S. Hand gesture recognition using neural networks[C]//2nd International Advance Computing Conference. Piscataway, NJ, USA: IEEE, 2010: 134-138.
  • 9ZHU Y,YANG Z,YUAN B.Vision based hand gesture recognition[C]//ICSS 2013:Proceedings of the 2013 International Conference on Service Sciences.Washington,DC:IEEE Computer Society,2013:260-265.
  • 10MAZUMDAR D,TALUKDAR A K,SARMA K K.Gloved and free hand tracking based hand gesture recognition[C]//ICETACS 2013:Proceedings of the 2013 1st International Conference on Emerging Trends and Applications in Computer Science.Piscataway:IEEE,2013:197-202.

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