一个围面EMG获取系统用于面部肌肉运动识别
Jianhang Zhang1,2, Shucheng Huang1, Jingting Li2,3
1School of Computer Science, Jiangsu University of Science and Technology, Zhenjiang 212003, China.
Sensors (Basel, Switzerland)
|November 14, 2023
概括
这项研究介绍了一种便携式无线系统,用于捕获面部肌肉表面电肌图 (EMG) 信号. 该系统在识别面部运动方面实现了高精度,增强了人机交互和心理治疗中的应用.
科学领域:
- 生物医学工程 生物医学工程
- 信号处理 信号处理
- 可穿戴技术可穿戴技术
背景情况:
- 表面电肌图 (EMG) 信号对于心理治疗和人机交互非常有价值.
- 现有的系统面临着电极放置和便携性方面的挑战.
- 获得面部肌肉运动需要可靠的实时信号处理.
研究的目的:
- 开发一个便携式无线系统,用于多通道的表面EMG信号采集.
- 为了解决面部肌肉运动检测电极放置的局限性.
- 为了验证系统的可靠性和准确性,用于实际应用.
主要方法:
- 设计了一个便携式无线传输系统,用于多通道EMG.
- 利用Wi-Fi技术进行灵活,便携式的数据传输.
- 采用了16个电极,放置在脸部周围以获取信号.
- 实现了面部运动识别的随机森林,SVM和BPNN分类器.
主要成果:
- 与商业设备相比,实现了>70%的相关系数.
- 在使用随机森林的五种面部运动中,证明了91.79%的高分类准确度.
- 证实外围电极放置有效捕捉面部肌肉活动.
结论:
- 开发的便携式无线EMG系统可靠且实用,用于面部运动分析.
- 边缘电极放置是可穿戴电磁图谱设备的可行策略.
- 这项技术提高了可穿戴EMG系统的可行性,用于各种应用.
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