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Optical Bio-Sensing Laboratory

Texas A&M University College of Engineering

Force Mapping Glove for Quantifying Astronaut Hand Biomechanics During Extravehicular Activity

Integrated sensing layout showing distributed force sensors, signal routing, and compact control electronics enabling real-time biomechanical monitoring. Designed for applications in astronaut performance, rehabilitation, human–machine interfaces, and wearable motion analytics.

This research focuses on developing a noninvasive, wearable force-mapping glove to quantify human hand biomechanics during extravehicular activities (EVAs) and other demanding operational environments

nments. Astronauts operating in pressurized space suits must generate significantly higher forces due to glove stiffness, reduced tactile feedback, and altered mechanical loading conditions. These constraints increase fatigue, reduce dexterity, and elevate the risk of musculoskeletal injury. To address this challenge, we developed a soft, distributed-sensing glove integrating silicone-embedded force-sensitive resistors (FSRs) positioned across key anatomical regions of the hand to enable real-time spatial mapping of force distribution during complex tasks.

The sensing architecture is designed to preserve natural hand motion while providing quantitative insight into grip mechanics, torque generation, and localized strain patterns. To demonstrate translational readiness and real-world deployability, the sensing system was also integrated into a commercially available off-the-shelf lacrosse glove. This validation confirmed compatibility with existing protective glove architectures and highlighted the platform’s ability to be rapidly adapted to operational equipment without requiring custom suit fabrication. Such adaptability supports accelerated testing cycles for astronaut glove design, military protective gear, industrial exosystems, and high-performance athletic equipment.

Beyond spaceflight, this wearable sensing platform serves as a versatile human performance monitoring system applicable to military training environments, rehabilitation following neurological or orthopedic injury, industrial ergonomics optimization, robotics and human-machine interface development, and athletic performance enhancement. By enabling objective quantification of biomechanical interaction forces in constrained environments, this technology supports safer equipment design, improved training protocols, and enhanced human capability in extreme operational settings.

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