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Feasibility of Wrist-Worn, Real-Time Hand, and Surface Gesture Recognition via sEMG and IMU Sensing

机译:通过sEMG和IMU感应进行腕部磨损,实时手部和表面手势识别的可行性

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摘要

While most wearable gesture recognition approaches focus on the forearm or fingers, the wrist may be a more suitable location for practical use. We present the design and validation of a real-time gesture recognition wristband based on surface electromyography and inertial measurement unit sensing fusion, which can recognize 8 air gestures and 4 surface gestures with 2 distinct force levels. Ten healthy subjects performed an initial gesture recognition experiment, followed by a second experiment 1 h later and a third experiment 1 day later. Classification accuracies for the initial experiment were 92.6% and 88.8% for air and surface gestures, respectively, and there were no changes in accuracy results during testing 1 h. and 1 day later (p > 0.05). These results demonstrate the feasibility of wrist-based gesture recognition paving the way for potential future integration in to a smart watch or other wrist-worn wearable for intuitive human computer interaction.
机译:尽管大多数可穿戴手势识别方法都集中在前臂或手指上,但手腕可能是更适合实际使用的位置。我们提出了基于表面肌电图和惯性测量单元感应融合的实时手势识别腕带的设计和验证,该腕带可以识别8种空中手势和4种表面手势,并具有2种不同的作用力水平。十名健康受试者进行了初始手势识别实验,随后在1小时后进行了第二次实验,并在1天后进行了第三次实验。初始实验的手势准确度分别为空气手势和表面手势,分别为92.6%和88.8%,并且在测试1小时内,准确性结果没有变化。 1天后(p> 0.05)。这些结果证明了基于手腕的手势识别的可行性,为将来可能集成到智能手表或其他腕戴式可穿戴设备以进行直观的人机交互铺平了道路。

著录项

  • 来源
    《Industrial Informatics, IEEE Transactions on》 |2018年第8期|3376-3385|共10页
  • 作者单位

    State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China;

    State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China;

    State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China;

    Samsung R&D Institute of China, Beijing, China;

    AR/VR lab, Huawei, Beijing, China;

    State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China;

    State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Gesture recognition; Sensors; Wrist; Real-time systems; Force; Prototypes; Electromyography;

    机译:手势识别;传感器;手腕;实时系统;力;原型;电化学;

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