Highly sensitive flexible strain sensor based on microstructured biphasic hydrogels for human motion monitoring

Flexible strain sensors have been extensively used in human motion detection, medical aids, electronic skins, and other civilian or military fields. Conventional strain sensors made of metal or semiconductor materials suffer from insufficient stretchability and sensitivity, imposing severe constrain...

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Bibliographic Details
Published inFrontiers of materials science Vol. 17; no. 4; p. 230665
Main Authors Gao, Xin, Wang, Xinyu, Fan, Xingce
Format Journal Article
LanguageEnglish
Published Beijing Higher Education Press 01.12.2023
Springer Nature B.V
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Summary:Flexible strain sensors have been extensively used in human motion detection, medical aids, electronic skins, and other civilian or military fields. Conventional strain sensors made of metal or semiconductor materials suffer from insufficient stretchability and sensitivity, imposing severe constraints on their utilization in wearable devices. Herein, we design a flexible strain sensor based on biphasic hydrogel via an in-situ polymerization method, which possesses superior electrical response and mechanical performance. External stress could prompt the formation of conductive microchannels within the biphasic hydrogel, which originates from the interaction between the conductive water phase and the insulating oil phase. The device performance could be optimized by carefully regulating the volume ratio of the oil/water phase. Consequently, the flexible strain sensor with oil phase ratio of 80 % demonstrates the best sensitivity with gauge factor of 33 upon a compressive strain range of 10 %, remarkable electrical stability of 100 cycles, and rapid resistance response of 190 ms. Furthermore, the human motions could be monitored by this flexible strain sensor, thereby highlighting its potential for seamless integration into wearable devices.
Bibliography:Document accepted on :2023-09-08
biphasic hydrogel
flexible strain sensor
conductive hydrogel
Document received on :2023-07-31
human motion monitoring
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2095-025X
2095-0268
DOI:10.1007/s11706-023-0665-5