A Large-Area Flexible Tactile Sensor for Multi-Touch and Force Detection Using Electrical Impedance Tomography
文献类型：期刊论文
| 作者 | Chen, Haofeng1,4; Yang, Xuanxuan1,4; Wang, Peng3; Geng, Jialu1; Ma, Gang2; Wang, Xiaojie1
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| 刊名 | IEEE SENSORS JOURNAL
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| 出版日期 | 2022-04-01 |
| 卷号 | 22 |
| 关键词 | Electrical impedance tomography (EIT) force and tactile sensing deep learning |
| ISSN号 | 1530-437X |
| DOI | 10.1109/JSEN.2022.3155125 |
| 通讯作者 | Ma, Gang(magang93@ustc.edu.cn) ; Wang, Xiaojie(xjwang@iamt.ac.cn) |
| 英文摘要 | For large area robot skin design, the distribution of rigid components and wires in traditional array sensors leads to the decrease of the flexibility and extensibility of sensors. The flexible sensors based on non-invasive electrical impedance tomography (EIT) can avoid these shortcomings. However, design of a large-area flexible tactile sensors using EIT technique is still challenging due to the tradeoff between manufacturability and spatial resolution. In this study, we pro-posed a novel non-array EIT-based tactile sensor which is made of a porous elastic polymer and ionic liquid. The sensor free from internal array electrodes is straightforward to man-ufacture and can cover a large area with low cost. To improve the spatial resolution and touch sensitivity, we adopted a deep learning scheme Pyramid Scene Parsing Network (PSPNet) to postprocess the originally reconstructed images to enhance the sensor tactile perception. With this data-driven method, we achieved a single-point position detection error of 7.5 +/- 4.5 mm without using internal electrodes. To overcome the location dependency of EIT sensing problems, we proposed a method of sub-regional fitting to calibrate the distributed forces for the large-area flexible tactile sensor and obtained a quantitative relationship between the touch force and EIT measurement for the entire sensing area for continuous sensing. The real-time performance of the proposed prototype sensor system demonstrated that we can achieve more accuracy of multi-touch and distributed force detection on the non-array sensors with a temporal resolution of about 1.3 frames/sec for potential applications in human-robot interfaces. |
| WOS关键词 | NANOCOMPOSITE |
| 资助项目 | Fundamental Research Funds for the Central Universities[WK5290000002] ; Key Support Project of Dean Fund of Hefei Institutes of Physical Science, CAS[YZJJZX202017] ; Innovation and Entrepreneurship Fund of Science Island Graduate Innovation and Entrepreneurship Center[KY-2021-SC-03] ; [HZ2021018] |
| WOS研究方向 | Engineering ; Instruments & Instrumentation ; Physics |
| 语种 | 英语 |
| WOS记录号 | WOS:000792967000098 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | Fundamental Research Funds for the Central Universities ; Key Support Project of Dean Fund of Hefei Institutes of Physical Science, CAS ; Innovation and Entrepreneurship Fund of Science Island Graduate Innovation and Entrepreneurship Center |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/130949]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 通讯作者 | Ma, Gang; Wang, Xiaojie |
| 作者单位 | 1.Chinese Acad Sci, Hefei Inst Phys Sci, Inst Intelligent Machines, Hefei 230031, Peoples R China 2.Univ Sci & Technol China, Dept Precis Machinery & Precis Instrumentat, Hefei 230026, Anhui, Peoples R China 3.Shenzhen Streamax Pixel Technol Co Ltd, Shenzhen 518055, Peoples R China 4.Univ Sci & Technol China, Hefei 230026, Anhui, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Haofeng,Yang, Xuanxuan,Wang, Peng,et al. A Large-Area Flexible Tactile Sensor for Multi-Touch and Force Detection Using Electrical Impedance Tomography[J]. IEEE SENSORS JOURNAL,2022,22. |
| APA | Chen, Haofeng,Yang, Xuanxuan,Wang, Peng,Geng, Jialu,Ma, Gang,&Wang, Xiaojie.(2022).A Large-Area Flexible Tactile Sensor for Multi-Touch and Force Detection Using Electrical Impedance Tomography.IEEE SENSORS JOURNAL,22. |
| MLA | Chen, Haofeng,et al."A Large-Area Flexible Tactile Sensor for Multi-Touch and Force Detection Using Electrical Impedance Tomography".IEEE SENSORS JOURNAL 22(2022). |
入库方式： OAI收割
来源：合肥物质科学研究院
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