Whole-Field Action Sensing via Wearable Single-Channel EMG Sensors and Resource-Efficient Motion Network

The proliferation of collaborative training and multi-person sports has underscored the necessity for concurrent whole-field action sensing. However, Electromyography (EMG) recognition, which plays a pivotal role in Wearable Human Activity Recognition (WHAR) for analyzing muscle activity and decoding action intent, still faces challenges in achieving a balance between performance, cost, and efficiency in multi-person scenarios. Unlike current channel-expansion solutions, we propose a wireless wearable Single-Dimensional Sparse EMG (2SEMG) Sensor for efficient personal sampling. These action-unaffected sensors leverage the proposed lightweight One-Dimensional Motion Network (OMONet) to facilitate concurrent action sensing. Experiments demonstrate that OMONet achieves leading performance and efficiency in action signal recognition, and two real-world badminton matches further confirm the performance, robustness, and real-time efficiency of the whole-field action sensing network constructed via 2SEMG Sensors and OMONet.

Authors

• Xuanming Jiang Xi'an Jiaotong University, Xi’an, China Xi’an Jiyun Technology Co., Ltd., Xi’an, China
• Dingyu Nie School of Physical Science and Technology, Lanzhou University, Lanzhou, China Xi’an Jiyun Technology Co., Ltd., Xi’an, China
• Baoyi An Lanzhou University, Lanzhou, China Xi’an Jiyun Technology Co., Ltd., Xi’an, China
• Yuzhe Zheng School of Physical Science and Technology, Lanzhou University, Lanzhou, China
• Yichuan Mao School of Physical Science and Technology, Lanzhou University, Lanzhou, China
• Jialie Shen City, University of London
• Xueming Qian Xi'an Jiaotong University, Xi’an, China Shaanxi Yulan Jiuzhou Intelligent Optoelectronic Technology Co., Ltd., Xi’an, China
• Zhiwen Jin School of Physical Science and Technology, Lanzhou University, Lanzhou, China
• Wei Lan School of Physical Science and Technology, Lanzhou University, Lanzhou, China
• Guoshuai Zhao Xi'an Jiaotong University, Xi’an, China Shaanxi Yulan Jiuzhou Intelligent Optoelectronic Technology Co., Ltd., Xi’an, China

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