Abstract
Abstract The research on wearable glove sensor system has been increasing over recent years because of the need for portability and comfort. This study presents a fabric-based integrated sensor glove system with five sensing zones. Five sensors are knitted by silver-plated nylon yarn and embedded into glove directly using intarsia technology. Various parameters including sensor elasticity, sizes of embedded sensor as well as glove are discussed, respectively. Further, selected or chosen integrated sensor glove is manufactured and tested for recognizing gestures. Results show that elasticity affects effective sensing range of knitted sensors, size has significant influence on sensors’ sensitivity, and appropriate glove size helps avoiding nonlinear sensing phenomenon. Finally, the glove system, by extracting feature data, can distinguish Chinese number gestures very well and has also the potential to recognize more hand gestures in the future.
Highlights
Sensing of human hand signal plays an important role in rehabilitation medicine, biomechanics, tele-operation, and human–computer interaction, like robot arm or virtual reality
This work investigates an integrated sensor glove system with five embedded sensors, which is knitted by silverplated nylon yarns and nylon/spandex yarn directly using whole-garment technology
70/30 nylon/ spandex yarn is chosen as elastic plating yarn in whole glove
Summary
Sensing of human hand signal plays an important role in rehabilitation medicine, biomechanics, tele-operation, and human–computer interaction, like robot arm or virtual reality. Consider an example —mature sensors that track hand gesture may provide opportunity for a person to communicate with deaf-mutes as well as understand them. Numerous hand motion sensor systems have been put forward and investigated. Researches are focused on vision-based methods [1, 2], such as camera and reflective markers on glove, and infrared-based methods. These methods are limited by hand gestures significantly. Multiple devices filming or photographing hand motions are not suitable in some cases
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