Flexible unimodal strain sensors for human motion detection and differentiation
Abstract Multiple strain sensors are required to identify individual forces/stresses on human joints and recognize how they work together in order to determine the motion’s direction and trajectory. However, current sensors cannot detect and differentiate the individual forces/stresses and their con...
| Main Authors: | , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-08-01
|
| Series: | npj Flexible Electronics |
| Online Access: | https://doi.org/10.1038/s41528-022-00205-4 |
| _version_ | 1811340381821861888 |
|---|---|
| author | Lu Jin Zhenhong Li Zekun Liu Bethany Richardson Yan Zheng Lulu Xu Zhongda Chen Heng Zhai Hongdoo Kim Qingwen Song Pengfei Yue Sheng Quan Xie Kap Jin Kim Yi Li |
| author_facet | Lu Jin Zhenhong Li Zekun Liu Bethany Richardson Yan Zheng Lulu Xu Zhongda Chen Heng Zhai Hongdoo Kim Qingwen Song Pengfei Yue Sheng Quan Xie Kap Jin Kim Yi Li |
| author_sort | Lu Jin |
| collection | DOAJ |
| description | Abstract Multiple strain sensors are required to identify individual forces/stresses on human joints and recognize how they work together in order to determine the motion’s direction and trajectory. However, current sensors cannot detect and differentiate the individual forces/stresses and their contributions to the motion from the sensors’ electrical signals. To address this critical issue, we propose a concept of unimodal tension, bend, shear, and twist strain sensors with piezoelectric poly L-lactic acid films. We then construct an integrated unimodal sensor (i-US) using the unimodal sensors and prove that the i-US can detect and differentiate individual strain modes, such as tensioning, bending, shearing, and twisting in complex motion. To demonstrate the potential impact of unimodal sensors, we design a sleeve and a glove with the i-US that can capture wrist motions and finger movements. Therefore, we expect unimodal strain sensors to provide a turning point in developing motion recognition and control systems. |
| first_indexed | 2024-04-13T18:41:13Z |
| format | Article |
| id | doaj.art-d934981854674d29b848b752c1312604 |
| institution | Directory Open Access Journal |
| issn | 2397-4621 |
| language | English |
| last_indexed | 2024-04-13T18:41:13Z |
| publishDate | 2022-08-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Flexible Electronics |
| spelling | doaj.art-d934981854674d29b848b752c13126042022-12-22T02:34:44ZengNature Portfolionpj Flexible Electronics2397-46212022-08-016111010.1038/s41528-022-00205-4Flexible unimodal strain sensors for human motion detection and differentiationLu Jin0Zhenhong Li1Zekun Liu2Bethany Richardson3Yan Zheng4Lulu Xu5Zhongda Chen6Heng Zhai7Hongdoo Kim8Qingwen Song9Pengfei Yue10Sheng Quan Xie11Kap Jin Kim12Yi Li13Department of Materials, School of Natural Sciences, The University of ManchesterSchool of Electronic and Electrical Engineering, University of LeedsDepartment of Materials, School of Natural Sciences, The University of ManchesterDepartment of Materials, School of Natural Sciences, The University of ManchesterDepartment of Materials, School of Natural Sciences, The University of ManchesterDepartment of Materials, School of Natural Sciences, The University of ManchesterDepartment of Materials, School of Natural Sciences, The University of ManchesterDepartment of Materials, School of Natural Sciences, The University of ManchesterDepartment of Advanced Materials Engineering for Information and Electronics, Kyung Hee UniversityCollege of Textile Science and Engineering, Xi’an Polytechnic UniversityCollege of Textile Science and Engineering, Xi’an Polytechnic UniversitySchool of Electronic and Electrical Engineering, University of LeedsDepartment of Advanced Materials Engineering for Information and Electronics, Kyung Hee UniversityDepartment of Materials, School of Natural Sciences, The University of ManchesterAbstract Multiple strain sensors are required to identify individual forces/stresses on human joints and recognize how they work together in order to determine the motion’s direction and trajectory. However, current sensors cannot detect and differentiate the individual forces/stresses and their contributions to the motion from the sensors’ electrical signals. To address this critical issue, we propose a concept of unimodal tension, bend, shear, and twist strain sensors with piezoelectric poly L-lactic acid films. We then construct an integrated unimodal sensor (i-US) using the unimodal sensors and prove that the i-US can detect and differentiate individual strain modes, such as tensioning, bending, shearing, and twisting in complex motion. To demonstrate the potential impact of unimodal sensors, we design a sleeve and a glove with the i-US that can capture wrist motions and finger movements. Therefore, we expect unimodal strain sensors to provide a turning point in developing motion recognition and control systems.https://doi.org/10.1038/s41528-022-00205-4 |
| spellingShingle | Lu Jin Zhenhong Li Zekun Liu Bethany Richardson Yan Zheng Lulu Xu Zhongda Chen Heng Zhai Hongdoo Kim Qingwen Song Pengfei Yue Sheng Quan Xie Kap Jin Kim Yi Li Flexible unimodal strain sensors for human motion detection and differentiation npj Flexible Electronics |
| title | Flexible unimodal strain sensors for human motion detection and differentiation |
| title_full | Flexible unimodal strain sensors for human motion detection and differentiation |
| title_fullStr | Flexible unimodal strain sensors for human motion detection and differentiation |
| title_full_unstemmed | Flexible unimodal strain sensors for human motion detection and differentiation |
| title_short | Flexible unimodal strain sensors for human motion detection and differentiation |
| title_sort | flexible unimodal strain sensors for human motion detection and differentiation |
| url | https://doi.org/10.1038/s41528-022-00205-4 |
| work_keys_str_mv | AT lujin flexibleunimodalstrainsensorsforhumanmotiondetectionanddifferentiation AT zhenhongli flexibleunimodalstrainsensorsforhumanmotiondetectionanddifferentiation AT zekunliu flexibleunimodalstrainsensorsforhumanmotiondetectionanddifferentiation AT bethanyrichardson flexibleunimodalstrainsensorsforhumanmotiondetectionanddifferentiation AT yanzheng flexibleunimodalstrainsensorsforhumanmotiondetectionanddifferentiation AT luluxu flexibleunimodalstrainsensorsforhumanmotiondetectionanddifferentiation AT zhongdachen flexibleunimodalstrainsensorsforhumanmotiondetectionanddifferentiation AT hengzhai flexibleunimodalstrainsensorsforhumanmotiondetectionanddifferentiation AT hongdookim flexibleunimodalstrainsensorsforhumanmotiondetectionanddifferentiation AT qingwensong flexibleunimodalstrainsensorsforhumanmotiondetectionanddifferentiation AT pengfeiyue flexibleunimodalstrainsensorsforhumanmotiondetectionanddifferentiation AT shengquanxie flexibleunimodalstrainsensorsforhumanmotiondetectionanddifferentiation AT kapjinkim flexibleunimodalstrainsensorsforhumanmotiondetectionanddifferentiation AT yili flexibleunimodalstrainsensorsforhumanmotiondetectionanddifferentiation |