High-Performance Stretchable Strain Sensors Based on Auxetic Fabrics for Human Motion Detection

Wearable strain sensors play a pivotal role in real-time human motion detection and health monitoring. Traditional fabric-based strain sensors, typically with a positive Poisson's ratio, face challenges in maintaining sensitivity and comfort during human motion due to conflicting resistance changes in different strain directions. In this work, high-performance stretchable strain sensors are developed based on graphene-modified auxetic fabrics (GMAF) for human motion detection in smart wearable devices. The proposed GMAF sensors, with a negative Poisson's ratio achieved through commercially available warp-knitting technology, exhibit an 8-fold improvement in sensitivity compared to conventional plain fabric sensors. The unique auxetic fabric structure enhances sensitivity by synchronizing resistance changes in both wale and course directions. The GMAF sensors demonstrate excellent washability, showing only slight degradation in auxeticity and an acceptable increase in resistance after 10 standard wash cycles. The GMAF sensors maintain stability under different strain levels and various motion frequencies, emphasizing their dynamic performance. The sensors exhibit superior conformability to joint movements, which effectively monitor a full range of motions, including joint bending, sports activities, and subtle actions like coughing and swallowing. The research underscores a promising approach to achieve industrial-scale production of wearable sensors with improved performance and comfort through fabric structure design.

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Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2024-09-09
DOI
https://doi.org/10.1021/acsami.4c13402
Citations
16
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
2.95

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article

High-Performance Stretchable Strain Sensors Based on Auxetic Fabrics for Human Motion Detection

Wenfang Song, Nazmul Karim, Minglonghai Zhang, Huiming Hu et al.
16 citations
ACS Applied Materials & Interfaces
Advanced Sensor and Energy Harvesting Materials
2.95
article

High-Performance Stretchable Strain Sensors Based on Auxetic Fabrics for Human Motion Detection

Wenfang Song, Nazmul Karim, Minglonghai Zhang, Huiming Hu, Shuaiquan Zhao, Yadie Yang, Hong Hu
article en
16 citations

Abstract

Wearable strain sensors play a pivotal role in real-time human motion detection and health monitoring. Traditional fabric-based strain sensors, typically with a positive Poisson's ratio, face challenges in maintaining sensitivity and comfort during human motion due to conflicting resistance changes in different strain directions. In this work, high-performance stretchable strain sensors are developed based on graphene-modified auxetic fabrics (GMAF) for human motion detection in smart wearable devices. The proposed GMAF sensors, with a negative Poisson's ratio achieved through commercially available warp-knitting technology, exhibit an 8-fold improvement in sensitivity compared to conventional plain fabric sensors. The unique auxetic fabric structure enhances sensitivity by synchronizing resistance changes in both wale and course directions. The GMAF sensors demonstrate excellent washability, showing only slight degradation in auxeticity and an acceptable increase in resistance after 10 standard wash cycles. The GMAF sensors maintain stability under different strain levels and various motion frequencies, emphasizing their dynamic performance. The sensors exhibit superior conformability to joint movements, which effectively monitor a full range of motions, including joint bending, sports activities, and subtle actions like coughing and swallowing. The research underscores a promising approach to achieve industrial-scale production of wearable sensors with improved performance and comfort through fabric structure design.

ACS Applied Materials & InterfacesVol. 16(37)
Guangdong University of Technology (CN), Hong Kong Polytechnic University (HK), Nottingham Trent University (GB)
Hong Kong Polytechnic University, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 9%
Advanced Sensor and Energy Harvesting Materials
2.95
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