Wearable Glove with Enhanced Sensitivity Based on Push–Pull Optical Fiber Sensor

Hand motion monitoring plays a vital role in medical rehabilitation, sports training, and human-computer interaction. High-sensitivity wearable biosensors are essential for accurate gesture recognition and precise motion analysis. In this work, we propose a high-sensitivity wearable glove based on a push-pull optical fiber sensor, designed to enhance the sensitivity and accuracy of hand motion biosensing. The sensor employs diagonal core reflectors fabricated at the tip of a four-core fiber, which interconnect symmetric fiber channels to form a push-pull sensing mechanism. This mechanism induces opposite wavelength shifts in fiber Bragg gratings positioned symmetrically under bending, effectively decoupling temperature and strain effects while significantly enhancing bending sensitivity. Experimental results demonstrate superior bending-sensing performance, establishing a solid foundation for high-precision gesture recognition. The integrated wearable glove offers a compact, flexible structure and straightforward fabrication process, with promising applications in precision medicine, intelligent human-machine interaction, virtual reality, and continuous health monitoring.

Authors

Institutions

Publication Details

Journal
Biosensors
Published
2025-06-27
DOI
https://doi.org/10.3390/bios15070414
Citations
1
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
1.94

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Wearable Glove with Enhanced Sensitivity Based on Push–Pull Optical Fiber Sensor

Tingting Yuan, Libo Yuan, Xiaotong Zhang, Hongye Wang et al.
1 citations
Biosensors
Hand Gesture Recognition Systems
1.94
article

Wearable Glove with Enhanced Sensitivity Based on Push–Pull Optical Fiber Sensor

Tingting Yuan, Libo Yuan, Xiaotong Zhang, Hongye Wang, Qi Xia
article en
1 citations

Abstract

Hand motion monitoring plays a vital role in medical rehabilitation, sports training, and human-computer interaction. High-sensitivity wearable biosensors are essential for accurate gesture recognition and precise motion analysis. In this work, we propose a high-sensitivity wearable glove based on a push-pull optical fiber sensor, designed to enhance the sensitivity and accuracy of hand motion biosensing. The sensor employs diagonal core reflectors fabricated at the tip of a four-core fiber, which interconnect symmetric fiber channels to form a push-pull sensing mechanism. This mechanism induces opposite wavelength shifts in fiber Bragg gratings positioned symmetrically under bending, effectively decoupling temperature and strain effects while significantly enhancing bending sensitivity. Experimental results demonstrate superior bending-sensing performance, establishing a solid foundation for high-precision gesture recognition. The integrated wearable glove offers a compact, flexible structure and straightforward fabrication process, with promising applications in precision medicine, intelligent human-machine interaction, virtual reality, and continuous health monitoring.

BiosensorsVol. 15(7)
Harbin Engineering University (CN), Ningbo University of Technology (CN), Shenzhen Technology University (CN), Guilin University of Electronic Technology (CN)
National Natural Science Foundation of China, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 15%
Hand Gesture Recognition Systems
1.94
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Wearable Glove with Enhanced Sensitivity Based on Push–Pull Optical Fiber Sensor — Tingting Yuan, Libo Yuan, et al. · Biosensors (2025) | TGRS Research Map | TGRS