A two-electrode frequency-scan system for gesture recognition
文献类型：期刊论文
| 作者 | Ma, Gang2; Chen, Haofeng1,2; Wang, Peng1,2; Dong, Shuai2; Wang, Xiaojie1,2
|
| 刊名 | MECHATRONICS
 |
| 出版日期 | 2023-10-01 |
| 卷号 | 94 |
| ISSN号 | 0957-4158 |
| 关键词 | Bio-impedance measurement Gesture recognition Frequency-scan Feature extraction |
| DOI | 10.1016/j.mechatronics.2023.103039 |
| 通讯作者 | Wang, Xiaojie(xjwang@iamt.ac.cn) |
| 英文摘要 | In this paper, we proposed a novel two-electrode, frequency-scan gesture recognition system based on bioimpedance measurement. This method not only achieves a high accuracy in recognizing common gestures and pinch gestures, but also reduces the measurement complexity and the number of electrodes. We developed a bespoke circuit with two medical electrodes to collect data from the back of the hand and presented a frequency scan method to increase the diversity of impedance data. Feature extraction method was adapted to explore the representative features for gesture recognition, and machine learning classification models with five-fold cross validation were used to train and realize accurate gesture recognition. To verify the effectiveness of this system, we designed two groups of nine gestures in a hand-gesture recognition experiment. The results showed that the system achieved a recognition accuracy of 98.3% with a group of four common gestures and an accuracy of 98.5% with a group of six pinch gestures. The proposed method realized a higher accuracy in pinch gesture set while using fewer electrodes. Additionally, we designed two real-time proof-of-concept interactive scenarios to demonstrate the general applications of this system. |
| WOS关键词 | TOMOGRAPHY |
| 资助项目 | Anhui Provincial Nature Science Foundation[2008085QE253] ; Key Support Project of Dean Fund of Hefei Institutes of Physical Science, CAS[YZJJZX202017] |
| WOS研究方向 | Automation & Control Systems ; Engineering ; Robotics |
| 语种 | 英语 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| WOS记录号 | WOS:001069196500001 |
| 资助机构 | Anhui Provincial Nature Science Foundation ; Key Support Project of Dean Fund of Hefei Institutes of Physical Science, CAS |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/132640]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 通讯作者 | Wang, Xiaojie |
| 作者单位 | 1.Chinese Acad Sci, Inst Adv Mfg Technol, Hefei Inst Phys Sci, Changzhou 213164, Jiangsu, Peoples R China 2.Univ Sci & Technol China, Dept Precis Machinery & Precis Instrumentat, Hefei 230026, Anhui, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ma, Gang,Chen, Haofeng,Wang, Peng,et al. A two-electrode frequency-scan system for gesture recognition[J]. MECHATRONICS,2023,94. |
| APA | Ma, Gang,Chen, Haofeng,Wang, Peng,Dong, Shuai,&Wang, Xiaojie.(2023).A two-electrode frequency-scan system for gesture recognition.MECHATRONICS,94. |
| MLA | Ma, Gang,et al."A two-electrode frequency-scan system for gesture recognition".MECHATRONICS 94(2023). |
入库方式： OAI收割
来源：合肥物质科学研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。