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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.
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http://dx.doi.org/10.3390/bios15070414 | DOI Listing |
Sensors (Basel)
August 2025
Department of Neurological Rehabilitation, Medical University of Lodz, Milionowa 14, 93-113 Lodz, Poland.
The effectiveness of upper extremity rehabilitation in post-stroke patients significantly depends on patient motivation and adherence to therapeutic regimens. Rehabilitation-assistive technologies, including wearable sensors, have been adopted to facilitate intensive and repetitive exercises aimed at reducing hand dysfunction and enhancing quality of life. Building upon the previously introduced Przypominajka (reminder) system reported in this journal-a wearable sensory glove coupled with a mobile application providing exercise guidance and monitoring-we conducted a feasibility study to evaluate its effectiveness in supporting upper limb rehabilitation.
View Article and Find Full Text PDFJ Orthop
October 2025
Department of Hand Surgery, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, 576104, India.
Introduction: A prospective single-center randomized, controlled trial was performed to compare a portable, motorized assistive glove (MAG) and conventional hand therapy, with conventional therapy alone as a prophylactic measure to prevent the stiffness of the hand. The aim was to test the null hypothesis that there are no significant differences in the functional outcomes between the two modalities.
Methods: Adult patients operated on either for hand fractures, flexor tendon, or neurovascular injuries were recruited at three weeks, randomized, and allocated to the trial.
ACS Appl Mater Interfaces
August 2025
Mechanical and Materials Engineering, College of Engineering and Computing, Florida International University, Miami, Florida 33174, United States.
In this study, we introduce a wearable, ultralow-power electrospinning glove that fabricates a cannabidiol (CBD)-infused microfiber. Unlike traditional electrospinning systems that require bulky equipment and input voltages on the order of tens of kilovolts, our lightweight, battery-operated device functions with a low input voltage of just 1 V DC. Central to the device is a needleless, ring-shaped spinneret incorporating convergent-divergent geometry within the distributed liquid nozzles, facilitating smooth fluid transitions and efficient acceleration of the polymer solution.
View Article and Find Full Text PDFSpectrochim Acta A Mol Biomol Spectrosc
January 2026
College of Chemistry and Bioengineering, Guilin University of Technology, Guilin 541006, China. Electronic address:
Metabisulfite (S₂O₅) plays a critical role in the chemical, pharmaceutical, and food industries. However, excessive residues or prolonged exposure to S₂O₅ can pose significant risks to human health. To enable rapid, effective, and convenient detection of its content, a colorimetric and ratiometric fluorescent probe (CQ1) based on the coumarin-quinoline scaffold has been developed.
View Article and Find Full Text PDFSensors (Basel)
July 2025
School of Automation, South China University of Technology, Guangzhou 510641, China.
Sign language recognition plays a crucial role in enabling communication for deaf individuals, yet current methods face limitations such as sensitivity to lighting conditions, occlusions, and lack of adaptability in diverse environments. This study presents a wearable multi-channel tactile sensing system based on smart textiles, designed to capture subtle wrist and finger motions for static sign language recognition. The system leverages triboelectric yarns sewn into gloves and sleeves to construct a skin-conformal tactile sensor array, capable of detecting biomechanical interactions through contact and deformation.
View Article and Find Full Text PDF