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

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.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:24

Enthalten in:

Sensors (Basel, Switzerland) - 24(2024), 4 vom: 19. Feb.

Sprache:

Englisch

Beteiligte Personen:

Xing, Xiaoqing [VerfasserIn]
Zou, Yao [VerfasserIn]
Zhong, Mian [VerfasserIn]
Li, Shichen [VerfasserIn]
Fan, Hongyun [VerfasserIn]
Lei, Xia [VerfasserIn]
Yin, Juhang [VerfasserIn]
Shen, Jiaqing [VerfasserIn]
Liu, Xinyi [VerfasserIn]
Xu, Man [VerfasserIn]
Jiang, Yong [VerfasserIn]
Tang, Tao [VerfasserIn]
Qian, Yu [VerfasserIn]
Zhou, Chao [VerfasserIn]

Links:

Volltext

Themen:

7782-42-5
Flexible wearable sensor
Graphite
Journal Article
Laser energy accumulation
Laser-induced graphene
Morphology
Motion posture capture

Anmerkungen:

Date Completed 26.02.2024

Date Revised 27.02.2024

published: Electronic

Citation Status MEDLINE

doi:

10.3390/s24041349

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM36890492X