Wrist MEMS Sensor for Movements Recognition in Ball Games
文献类型：会议论文
| 作者 | Zhang, Xueliang1; Duan HJ(段洪君)1; Zhang, Ming1; Zhao YL(赵玉良)1 ; Sha, Xiaopeng1; Yu HB(于海波)2
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| 出版日期 | 2019 |
| 会议日期 | July 29 - August 2, 2019 |
| 会议地点 | Suzhou, China |
| 页码 | 1663-1667 |
| 英文摘要 | In ball games, the arm movements are diverse and complex. The accurate recognition of the arm movements is of great significance to the quality of training and sports guidance. Wrist sensor is one of the important means. Traditional wrist sensors recognize batting action by measuring the acceleration and angular velocity of the arm and have a good performance. But they measure few features, and it has a slightly larger size that has some effect on player performance. In this paper, we develop a motion recognition platform for Basketball, Ping-Pong, and badminton. It is accurate enough for recognizing these motions whether hits or miss the Ping-Pong ball. The system integrates a low-power nine-axis inertial sensor and a low-power environment sensor that can output eleven different characteristics such as triaxial acceleration, triaxial angular velocity, triaxial magnetic field strength, air pressure, and temperature. This system includes the power management part, attitude detection part, Bluetooth wireless communication part and mobile terminal monitoring part. The inertial sensor can identify the arm action, and then transmits posture data to the Microcontroller Unit (MCU) for analysis and processing. Bluetooth 5.0 is used between the MCU and the mobile monitor for information exchange, which makes data transmission faster and more stable. Experiments of the 3 athletes have demonstrated that the movements can be accurately identified. And the entire system has very low power consumption and very small size (23.05mm9.25mm5.5mm). It provides a multi-feature measurement platform for body movement posture research and can recognize a variety of ball games movement, which is of great significance for intelligent sports training and research. |
| 产权排序 | 2 |
| 会议录 | Proceedings of 9th IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems
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| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-7281-0769-1 |
| WOS记录号 | WOS:000569550300293 |
| 源URL | [http://ir.sia.cn/handle/173321/26834]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 通讯作者 | Duan HJ(段洪君); Zhao YL(赵玉良) |
| 作者单位 | 1.School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China 2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, China |
| 推荐引用方式 GB/T 7714 | Zhang, Xueliang,Duan HJ,Zhang, Ming,et al. Wrist MEMS Sensor for Movements Recognition in Ball Games[C]. 见:. Suzhou, China. July 29 - August 2, 2019. |
入库方式： OAI收割
来源：沈阳自动化研究所
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