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A smart glove with integrated triboelectric nanogenerator for self-powered gesture recognition and language expression

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Version 2 2019-09-13, 09:34
Version 1 2019-09-11, 14:05
journal contribution
posted on 2019-09-13, 09:34 authored by Che-Min Chiu, Shuo-Wen Chen, Yu-Ping Pao, Ming-Zheng Huang, Shuen-Wen Chan, Zong-Hong Lin

Flexible electronics with great functional characteristics have proved to be a stepping stone in the field of wearable devices. Amongst all, gesture-sensing techniques have been widely studied for human-machine interfaces. In this paper, we propose a self-powered gesture-sensing system attached to the back of the hands, which has the capability of distinguishing hand gestures by measuring the triboelectric nanogenerator output signal. By attaching the sensor on the back of the hand, we can sense the displacement of tendons to detect the gestures. In addition, humidity resistance and durability of the device were tested and validated. Furthermore, we have established a set of rules to define the relationship between gestures and corresponding English letters. Therefore, the proposed sensor can further serve as an electronic sign language translator by converting gestures into words. Finally, we can integrate this system into gloves to enhance the applicability and utility. Overall, we have developed a real-time self-powered back-of-hand sensing system which can recognize various hand gestures.

Funding

This research was funded by the Taiwan Ministry of Science and Technology grant funded by the Taiwan government (105-2113-M-007-020-MY2, 107-2113-M-007-019, 107-2218-E-007-050 and 107-2622-M-007-001-CC3). This work was also supported by the ‘Frontier Research Center on Fundamental and Applied Sciences of Matters’ from The Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE 107QR001I5) in Taiwan.

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