1. Design framework for a seamless smart glove using a digital knitting system
- Author
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Sora Han, Seulah Lee, Hyuna Won, Yuna Choi, Jihyun Bae, Youngjin Choi, Yewon Son, and Tae Hyun Sung
- Subjects
Cultural Studies ,Textile ,Seamless glove sensor ,Social Psychology ,Process (engineering) ,Computer science ,Finger motion detection ,Strategy and Management ,Materials Science (miscellaneous) ,Framework for wearable electronics ,Wearable computer ,CAD ,02 engineering and technology ,010402 general chemistry ,01 natural sciences ,lcsh:Social Sciences ,lcsh:TP890-933 ,Sensitivity (control systems) ,Wearable technology ,Marketing ,Design framework ,Digital knitting CAD/CAM system ,business.industry ,Robotic finger ,021001 nanoscience & nanotechnology ,0104 chemical sciences ,lcsh:H ,Systems engineering ,lcsh:Textile bleaching, dyeing, printing, etc ,0210 nano-technology ,business - Abstract
The wearable electronics integrated with textile-based devices is a promising strategy to meet the requirements of human comfort as well as electrical performances. This research presents a design and development framework for a seamless glove sensor system using digital knitting fabrication. Based on the performance requirements of glove sensors for controlling a prosthetic hand, desirable design components include electrical conductivity, comfort, formfit, electrical sensitivity, and customizable design. These attributes are determined and achieved by applying appropriate materials and fabrication technologies. In this study, a digital knitting CAD/CAM system is utilized to meet the desired performance criteria, and two prototypes of the seamless glove sensor systems are successfully developed for the detection of both human and robotic finger motions. This digital knitting system will provide considerable potential for customized design development as well as a sustainable production process. This structured, systematic approach could be adapted in the future development of wearable electronic textile systems.
- Published
- 2021