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Extracting Muscle Geometrical Features With a Fabric-Based Wearable Sensor for Human Motion Intent Recognition | |
Zheng EH(郑恩昊)1![]() | |
发表期刊 | IEEE/ASME Transactions on Mechatronics
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ISSN | 1083-4435 |
2024 | |
页码 | 1-11 |
通讯作者 | Zheng, Enhao(enhao.zheng@ia.ac.cn) |
产权排序 | 1 |
摘要 | Fabric-based wearable sensing is receiving increasing attention in the field of wearable robots. In our study, we propose a fabric-based sensing method for human motion recognition/estimation. The approach was developed with an elastic sleeve integrated with four bend sensors and the superellipse-based construction algorithm. Unlike existing techniques, our method can extract muscular geometrical features in the anatomical cross-sectional plane. To validate our method, we conducted evaluations on 14 subjects, including time response evaluations, isometric grip force estimation, forearm/lower limb joint angle estimation, discrete lower limb posture recognition, and continuous gait phase estimation. First, our method produced comparable results to the state-of-the-art approaches. The average R^{2} values for joint angle estimation were 0.84–0.94, the average accuracy for lower limb posture recognition was 99.78%, and the average estimation error for gait phase was below 1% of a complete gait cycle. Second, we accomplished tasks that existing fabric-based mechanical sensors are unable to achieve. We demonstrated that our method detected motion onsets before the actual joint movements in voluntary dorsiflexion and sit-to-stand transition tasks. In addition, we achieved isometric grip force estimation with an average R^{2} of 0.89. Unlike stretch-based methods that measure the response of movements, our method extracts human motion intents before the actual movements occur. This extends the measurement scope of fabric-based wearable sensing for human motion recognition. In future work, we will focus on sensor integration and robot control to further enhance our method's capabilities. |
关键词 | Sensors Robot sensing systems Muscles Wearable sensors Shape Force Feature extraction Fabric-based sensors human motion recognition muscle features wearable sensing |
DOI | 10.1109/TMECH.2024.3363454 |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China |
项目资助者 | National Natural Science Foundation of China |
WOS研究方向 | Automation & Control Systems ; Engineering |
WOS类目 | Automation & Control Systems ; Engineering, Manufacturing ; Engineering, Electrical & Electronic ; Engineering, Mechanical |
WOS记录号 | WOS:001178969400001 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
七大方向——子方向分类 | 智能机器人 |
国重实验室规划方向分类 | 实体人工智能系统(软、硬件) |
是否有论文关联数据集需要存交 | 否 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/57574 |
专题 | 多模态人工智能系统全国重点实验室_机器人理论与应用 |
通讯作者 | Zheng EH(郑恩昊) |
作者单位 | 1.State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China 2.School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China 3.Department of Automation Science and Electrical Engineering, Beihang University, Beijing, China 4.Department of Advanced Manufacturing and Robotics, College of Engineering, Peking University, Beijing, China |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Zheng EH,Jiacheng Wan,Nanxing Hu,et al. Extracting Muscle Geometrical Features With a Fabric-Based Wearable Sensor for Human Motion Intent Recognition[J]. IEEE/ASME Transactions on Mechatronics,2024:1-11. |
APA | Zheng EH,Jiacheng Wan,Nanxing Hu,&Qining Wang.(2024).Extracting Muscle Geometrical Features With a Fabric-Based Wearable Sensor for Human Motion Intent Recognition.IEEE/ASME Transactions on Mechatronics,1-11. |
MLA | Zheng EH,et al."Extracting Muscle Geometrical Features With a Fabric-Based Wearable Sensor for Human Motion Intent Recognition".IEEE/ASME Transactions on Mechatronics (2024):1-11. |
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