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Sawtooth-enhanced bend sensor for gesture recognition

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Gesture recognition has diverse application prospects in the field of human-computer interaction.Recently,gesture recognition devices based on strain sensors have achieved remarkable results,among which liquid metal materials have considerable advantages due to their high tensile strength and conductivity.To improve the detection sensitivity of liquid metal strain sensors,a sawtooth-enhanced bending sensor is proposed in this study.Compared with the results from previous studies,the bending sensor shows enhanced resistance variation.In addition,combined with machine learning algorithms,a gesture recognition glove based on the sawtooth-enhanced bending sensor is also fabricated in this study,and various gestures are accurately identified.In the fields of human-computer interaction,wearable sensing,and medical health,the sawtooth-enhanced bending sensor shows great potential and can have wide application prospects.

liquid metalbending sensorgesture recognitionmachine learning

BAI YanRu、ZHANG ZiHang、WANG HaoYu、GUO Rui、LI XiSheng

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School of Automation and Electrical Engineering,University of Science and Technology Beijing,Beijing 100083,China

School of Advanced Engineering,University of Science and Technology Beijing,Beijing 100083,China

School of Precision Instrument and Opto-Electronics Engineering,Tianjin University,Tianjin 300072,China

School of Computer and Communication Engineering,University of Science and Technology Beijing,Beijing 100083,China

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National Key R&D Program of China

2022YFC2403703

2024

中国科学:技术科学(英文版)
中国科学院

中国科学:技术科学(英文版)

CSTPCDEI
影响因子:1.056
ISSN:1674-7321
年,卷(期):2024.67(6)