摘要
文中基于FDC2214芯片开发出一套手势识别系统,并给出了相关性能的线性评价指标。通过软件仿真及实验测试验证了FDC2214芯片对手势变化时电容变化量的捕捉和处理能力。实验结果表明,与传统的识别系统相比,该系统对于基本手势的识别具有较好的识别效果平均手势学习时间为1. 04±0. 14 s,识别时间为0. 87±0. 21 s,实时正确率为(96. 3±3. 4)%。
A gesture recognition system is developed based on FDC2214 chip, and the related periomlance linear evaluation index is given. The ability of capturing and processing capacitance changes of FDC2214 chips is verified by software simulation and experimental tests. The experimental results show that compared with the traditional recognition system, the system has better recognition ettbct tor basic gesture recognition. The average gesture learning time was （l. 04± 0. 14） s, the recognition time was （0. 87 ±0. 21 ） s, and the real - time accuracy rate was （96. 3 ± 3.4） %.
作者
高泷森
王磊
孟凡强
刘明民
GAO Longsen1, WANG Lei2, MENG Fanqiang, LIU Mingmin(1. School of Information and Communication Engineering, Hebei Geographic University, Shijiazhuang 050031, China ; 2. School of Intelligent Manufactring, Panzhihua University, Panzhihua 617000, China)
出处
《电子科技》
2018年第10期76-78,共3页
Electronic Science and Technology
