Freestanding and scalable force-softness bimodal sensor arrays for haptic body-feature identification
Tactile technologies that can identify human body features are valuable in clinical diagnosis and human-machine interactions. Previously, cutting-edge tactile platforms have been able to identify structured non-living objects; however, identification of human body features remains challenging mainly...
| Main Authors: | , , , , , , , , , , , , , , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/166287 |
| _version_ | 1811678993735221248 |
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| author | Cui, Zequn Wang, Wensong Xia, Huarong Wang, Changxian Tu, Jiaqi Ji, Shaobo Tan, Joel Ming Rui Liu, Zhihua Zhang, Feilong Li, Wenlong Lv, Zhisheng Li, Zheng Guo, Wei Koh, Nien Yue Ng, Kian Bee Feng, Xue Zheng, Yuanjin Chen, Xiaodong |
| author2 | School of Materials Science and Engineering |
| author_facet | School of Materials Science and Engineering Cui, Zequn Wang, Wensong Xia, Huarong Wang, Changxian Tu, Jiaqi Ji, Shaobo Tan, Joel Ming Rui Liu, Zhihua Zhang, Feilong Li, Wenlong Lv, Zhisheng Li, Zheng Guo, Wei Koh, Nien Yue Ng, Kian Bee Feng, Xue Zheng, Yuanjin Chen, Xiaodong |
| author_sort | Cui, Zequn |
| collection | NTU |
| description | Tactile technologies that can identify human body features are valuable in clinical diagnosis and human-machine interactions. Previously, cutting-edge tactile platforms have been able to identify structured non-living objects; however, identification of human body features remains challenging mainly because of the irregular contour and heterogeneous spatial distribution of softness. Here, freestanding and scalable tactile platforms of force-softness bimodal sensor arrays are developed, enabling tactile gloves to identify body features using machine-learning methods. The bimodal sensors are engineered by adding a protrusion on a piezoresistive pressure sensor, endowing the resistance signals with combined information of pressure and the softness of samples. The simple design enables 112 bimodal sensors to be integrated into a thin, conformal, and stretchable tactile glove, allowing the tactile information to be digitalized while hand skills are performed on the human body. The tactile glove shows high accuracy (98%) in identifying four body features of a real person, and four organ models (healthy and pathological) inside an abdominal simulator, demonstrating identification of body features of the bimodal tactile platforms and showing their potential use in future healthcare and robotics. |
| first_indexed | 2024-10-01T03:02:05Z |
| format | Journal Article |
| id | ntu-10356/166287 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:02:05Z |
| publishDate | 2023 |
| record_format | dspace |
| spelling | ntu-10356/1662872023-04-21T15:46:08Z Freestanding and scalable force-softness bimodal sensor arrays for haptic body-feature identification Cui, Zequn Wang, Wensong Xia, Huarong Wang, Changxian Tu, Jiaqi Ji, Shaobo Tan, Joel Ming Rui Liu, Zhihua Zhang, Feilong Li, Wenlong Lv, Zhisheng Li, Zheng Guo, Wei Koh, Nien Yue Ng, Kian Bee Feng, Xue Zheng, Yuanjin Chen, Xiaodong School of Materials Science and Engineering School of Electrical and Electronic Engineering Lee Kong Chian School of Medicine (LKCMedicine) Innovative Center for Flexible Devices (iFLEX) Engineering::Materials Tactile Glove Palpation Tactile technologies that can identify human body features are valuable in clinical diagnosis and human-machine interactions. Previously, cutting-edge tactile platforms have been able to identify structured non-living objects; however, identification of human body features remains challenging mainly because of the irregular contour and heterogeneous spatial distribution of softness. Here, freestanding and scalable tactile platforms of force-softness bimodal sensor arrays are developed, enabling tactile gloves to identify body features using machine-learning methods. The bimodal sensors are engineered by adding a protrusion on a piezoresistive pressure sensor, endowing the resistance signals with combined information of pressure and the softness of samples. The simple design enables 112 bimodal sensors to be integrated into a thin, conformal, and stretchable tactile glove, allowing the tactile information to be digitalized while hand skills are performed on the human body. The tactile glove shows high accuracy (98%) in identifying four body features of a real person, and four organ models (healthy and pathological) inside an abdominal simulator, demonstrating identification of body features of the bimodal tactile platforms and showing their potential use in future healthcare and robotics. Ministry of Education (MOE) National Research Foundation (NRF) Submitted/Accepted version The project was supported by Singapore Ministry of Education (MOE2019-T2-2-022) and the National Research Foundation, Singapore (NRF) under NRF’s Medium Sized Center: Singapore Hybrid-Integrated Next-Generation μ-Electronics (SHINE) Center funding program. 2023-04-20T05:30:58Z 2023-04-20T05:30:58Z 2022 Journal Article Cui, Z., Wang, W., Xia, H., Wang, C., Tu, J., Ji, S., Tan, J. M. R., Liu, Z., Zhang, F., Li, W., Lv, Z., Li, Z., Guo, W., Koh, N. Y., Ng, K. B., Feng, X., Zheng, Y. & Chen, X. (2022). Freestanding and scalable force-softness bimodal sensor arrays for haptic body-feature identification. Advanced Materials, 34(47), 2207016-. https://dx.doi.org/10.1002/adma.202207016 0935-9648 https://hdl.handle.net/10356/166287 10.1002/adma.202207016 36134530 2-s2.0-85140258093 47 34 2207016 en MOE2019-T2-2-022 NRF-SHINE Advanced Materials © 2022 Wiley-VCH GmbH. All rights reserved. This is the peer reviewed version of the following article: Cui, Z., Wang, W., Xia, H., Wang, C., Tu, J., Ji, S., Tan, J. M. R., Liu, Z., Zhang, F., Li, W., Lv, Z., Li, Z., Guo, W., Koh, N. Y., Ng, K. B., Feng, X., Zheng, Y. & Chen, X. (2022). Freestanding and scalable force-softness bimodal sensor arrays for haptic body-feature identification. Advanced Materials, 34(47), 2207016-, which has been published in final form at https://doi.org/10.1002/adma.202207016. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. application/pdf |
| spellingShingle | Engineering::Materials Tactile Glove Palpation Cui, Zequn Wang, Wensong Xia, Huarong Wang, Changxian Tu, Jiaqi Ji, Shaobo Tan, Joel Ming Rui Liu, Zhihua Zhang, Feilong Li, Wenlong Lv, Zhisheng Li, Zheng Guo, Wei Koh, Nien Yue Ng, Kian Bee Feng, Xue Zheng, Yuanjin Chen, Xiaodong Freestanding and scalable force-softness bimodal sensor arrays for haptic body-feature identification |
| title | Freestanding and scalable force-softness bimodal sensor arrays for haptic body-feature identification |
| title_full | Freestanding and scalable force-softness bimodal sensor arrays for haptic body-feature identification |
| title_fullStr | Freestanding and scalable force-softness bimodal sensor arrays for haptic body-feature identification |
| title_full_unstemmed | Freestanding and scalable force-softness bimodal sensor arrays for haptic body-feature identification |
| title_short | Freestanding and scalable force-softness bimodal sensor arrays for haptic body-feature identification |
| title_sort | freestanding and scalable force softness bimodal sensor arrays for haptic body feature identification |
| topic | Engineering::Materials Tactile Glove Palpation |
| url | https://hdl.handle.net/10356/166287 |
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