Self-Powered Mechanoluminescence-Based Mechanical Sensing Glove for Human-Machine Interaction

Wearable electronic devices are increasingly vital in modern human-machine interaction (HMI), but existing flexible sensors face challenges like structural complexity, high costs, limited compatibility, and poor scalability. Here, we introduce an optical-mechanical wearable sensor device (OSWD) using synthesized mechanoluminescence (ML) material Ca10Li(PO4)7 (CLP) doped with Tb3+, Dy3+, and Mn2+, producing distinct green, yellow, and red emissions. The friction-induced, self-powered ML mechanism was validated and integrated into polydimethylsiloxane (PDMS), demonstrating excellent cyclic ML performance. The composite exhibits high sensitivity (relative sensitivity SR ≈ 1.13%), exceptional toughness, and wide strain adaptability (0.6–180%). By attaching the OSWD to a finger and coupling it with a TCS34725 RGB color sensor, finger-bending-induced ML signals effectively generate recognizable commands. Compared to traditional sensors, the OSWD significantly reduces manufacturing costs and enhances device portability, promoting broader integration potential. Moreover, its simple, lightweight design enables natural user interaction without restricting hand movements, overcoming limitations common in current wearable devices. In summary, our friction-induced, self-powered ML-based OSWD glove addresses key manufacturing and usability issues, advancing wearable HMI technologies for daily activities.

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Publication Details

Journal
ACS Applied Optical Materials
Published
2025-05-14
DOI
https://doi.org/10.1021/acsaom.5c00121
Citations
2
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
1.35

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article

Self-Powered Mechanoluminescence-Based Mechanical Sensing Glove for Human-Machine Interaction

Yunpeng Zhou, Shunzhi Zhu, Yanyan Li, Kai Ge Cheng et al.
2 citations
ACS Applied Optical Materials
Advanced Sensor and Energy Harvesting Materials
1.35
article

Self-Powered Mechanoluminescence-Based Mechanical Sensing Glove for Human-Machine Interaction

Yunpeng Zhou, Shunzhi Zhu, Yanyan Li, Kai Ge Cheng, Lei Zhao, Lili Li, Long Feng, Wenxing Pan, Hongxin Song
article en
2 citations

Abstract

Wearable electronic devices are increasingly vital in modern human-machine interaction (HMI), but existing flexible sensors face challenges like structural complexity, high costs, limited compatibility, and poor scalability. Here, we introduce an optical-mechanical wearable sensor device (OSWD) using synthesized mechanoluminescence (ML) material Ca10Li(PO4)7 (CLP) doped with Tb3+, Dy3+, and Mn2+, producing distinct green, yellow, and red emissions. The friction-induced, self-powered ML mechanism was validated and integrated into polydimethylsiloxane (PDMS), demonstrating excellent cyclic ML performance. The composite exhibits high sensitivity (relative sensitivity SR ≈ 1.13%), exceptional toughness, and wide strain adaptability (0.6–180%). By attaching the OSWD to a finger and coupling it with a TCS34725 RGB color sensor, finger-bending-induced ML signals effectively generate recognizable commands. Compared to traditional sensors, the OSWD significantly reduces manufacturing costs and enhances device portability, promoting broader integration potential. Moreover, its simple, lightweight design enables natural user interaction without restricting hand movements, overcoming limitations common in current wearable devices. In summary, our friction-induced, self-powered ML-based OSWD glove addresses key manufacturing and usability issues, advancing wearable HMI technologies for daily activities.

ACS Applied Optical MaterialsVol. 3(5)
Baoji University of Arts and Sciences (CN)
Natural Science Foundation of Shaanxi Province, Education Department of Shaanxi Province
Openalex Percentile: Top 20%
Advanced Sensor and Energy Harvesting Materials
1.35
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Self-Powered Mechanoluminescence-Based Mechanical Sensing Glove for Human-Machine Interaction — Yunpeng Zhou, Shunzhi Zhu, et al. · ACS Applied Optical Materials (2025) | TGRS Research Map | TGRS