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

机译:一个智能手套,具有集成的摩擦纳米能器,用于自我动力的手势识别和语言表达

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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.? 2019 The Author(s). Published by National Institute for Materials Science in partnership with Taylor & Francis Group.
机译:具有良好功能特性的柔性电子器件已被证明是可穿戴设备领域的踏脚石。在所有的中,人机界面都广泛研究了手势传感技术。在本文中,我们提出了一种连接到手背的自动手势传感系统,其通过测量摩擦纳米电磁器输出信号来实现手势的能力。通过将传感器安装在手背上,我们可以感测肌腱的位移来检测手势。此外,测试和验证了装置的耐湿性和耐久性。此外,我们建立了一组规则来定义手势和相应的英语字母之间的关系。因此,通过将手势转换为单词,所提出的传感器可以作为电子标牌语言转换器。最后,我们可以将该系统集成到手套中,以提高适用性和效用。总的来说,我们开发了一个实时自动的背面传感系统,可以识别各种手势。 2019年作者。由国家材料科学研究所与Taylor&Francis集团合作发布。

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