A Flexible Wearable Sensor Based on Laser-Induced Graphene for High-Precision Fine Motion Capture for Pilots

Author:

Xing Xiaoqing1,Zou Yao1ORCID,Zhong Mian12ORCID,Li Shichen1,Fan Hongyun1,Lei Xia1,Yin Juhang1,Shen Jiaqing1,Liu Xinyi3,Xu Man3,Jiang Yong3ORCID,Tang Tao4ORCID,Qian Yu5ORCID,Zhou Chao12

Affiliation:

1. Institute of Electronic and Electrical Engineering, Civil Aviation Flight University of China, Deyang 618307, China

2. Key Laboratory of Flight Techniques and Flight Safety, CAAC, Deyang 618307, China

3. School of Mathematics and Physics, Southwest University of Science and Technology, Mianyang 621010, China

4. College of Electronic and Information, Southwest Minzu University, Chengdu 610225, China

5. School of Flight Technology, Civil Aviation Flight University of China, Deyang 618307, China

Abstract

There has been a significant shift in research focus in recent years toward laser-induced graphene (LIG), which is a high-performance material with immense potential for use in energy storage, ultrahydrophobic water applications, and electronic devices. In particular, LIG has demonstrated considerable potential in the field of high-precision human motion posture capture using flexible sensing materials. In this study, we investigated the surface morphology evolution and performance of LIG formed by varying the laser energy accumulation times. Further, to capture human motion posture, we evaluated the performance of highly accurate flexible wearable sensors based on LIG. The experimental results showed that the sensors prepared using LIG exhibited exceptional flexibility and mechanical performance when the laser energy accumulation was optimized three times. They exhibited remarkable attributes, such as high sensitivity (~41.4), a low detection limit (0.05%), a rapid time response (response time of ~150 ms; relaxation time of ~100 ms), and excellent response stability even after 2000 s at a strain of 1.0% or 8.0%. These findings unequivocally show that flexible wearable sensors based on LIG have significant potential for capturing human motion posture, wrist pulse rates, and eye blinking patterns. Moreover, the sensors can capture various physiological signals for pilots to provide real-time capturing.

Funder

the Key Laboratory of Flight Techniques and Flight Safety, CAAC

the General Project of Sichuan General Aircraft Maintenance Engineering and Technology Research Center

the National Natural Science Foundation of China

Publisher

MDPI AG

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