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
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;
Gesture recognition; Sensors; Wrist; Real-time systems; Force; Prototypes; Electromyography;
机译:腕戴式修正气压传感器的手势识别和手指角度估计
机译:手势识别和手指角度估计通过手腕磨损改性的气压传感
机译:来自表面电灰度(SEMG)的生物识别:基于手势识别的用户验证和识别的可行性
机译:基于sEMG和IMU感应的实时手势识别腕带的开发
机译:评估加速度计在手势识别中的可行性
机译:用于康复疗法的SEMG控制的3D游戏:使用深度学习技术实时手势识别
机译:使用sEMG和加速计进行手势到语音转换的实时手势识别