Freestanding and Scalable Force‐Softness Bimodal Sensor Arrays for Haptic Body‐Feature Identification Article Swipe
Zequn Cui
,
Wensong Wang
,
Huarong Xia
,
Changxian Wang
,
Jiaqi Tu
,
Shaobo Ji
,
Ming Jen Tan
,
Zhiyuan Liu
,
Feilong Zhang
,
Wenlong Li
,
Zhisheng Lv
,
Zheng Li
,
Wei Guo
,
Nien Yue Koh
,
Kian Bee Ng
,
Xue Feng
,
Yuanjin Zheng
,
Xiaodong Chen
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1002/adma.202207016
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1002/adma.202207016
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.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/adma.202207016
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/adma.202207016
- OA Status
- bronze
- Cited By
- 50
- References
- 33
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4296635132
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4296635132Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1002/adma.202207016Digital Object Identifier
- Title
-
Freestanding and Scalable Force‐Softness Bimodal Sensor Arrays for Haptic Body‐Feature IdentificationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-09-22Full publication date if available
- Authors
-
Zequn Cui, Wensong Wang, Huarong Xia, Changxian Wang, Jiaqi Tu, Shaobo Ji, Ming Jen Tan, Zhiyuan Liu, Feilong Zhang, Wenlong Li, Zhisheng Lv, Zheng Li, Wei Guo, Nien Yue Koh, Kian Bee Ng, Xue Feng, Yuanjin Zheng, Xiaodong ChenList of authors in order
- Landing page
-
https://doi.org/10.1002/adma.202207016Publisher landing page
- PDF URL
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/adma.202207016Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
-
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/adma.202207016Direct OA link when available
- Concepts
-
Materials science, Haptic technology, Identification (biology), Scalability, Nanotechnology, Feature (linguistics), Artificial intelligence, Computer science, Database, Philosophy, Biology, Linguistics, BotanyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
50Total citation count in OpenAlex
- Citations by year (recent)
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2025: 16, 2024: 19, 2023: 15Per-year citation counts (last 5 years)
- References (count)
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33Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| publication_date | 2022-09-22 |
| publication_year | 2022 |
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