1. Hybrid nano-textured nanogenerator and self-powered sensor for on-skin triggered biomechanical motions
- Author
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Yiin Kuen Fuh, Yeh Hsin Lu, Miao Hua Xu, Lee Shu Fang, Wei Cheng Lo, Chen Yu Tsai, and Shao Wei Wu
- Subjects
Materials science ,Open-circuit voltage ,Mechanical Engineering ,Nanogenerator ,Electronic skin ,Soft robotics ,Bioengineering ,02 engineering and technology ,General Chemistry ,010402 general chemistry ,021001 nanoscience & nanotechnology ,01 natural sciences ,0104 chemical sciences ,Mechanics of Materials ,Projected area ,General Materials Science ,Artificial muscle ,Electrical and Electronic Engineering ,0210 nano-technology ,Energy harvesting ,Short circuit ,Simulation - Abstract
Researchers have made a lot of effort for the lightweight and high flexibility of wearable electronic devices, which also requires the associated energy harvesting equipment to have ultra-thin thickness and high stretchability. Therefore, a piezoelectric-triboelectric hybrid self-powered sensor (PTHS) has been proposed which can be used as the second layer of the human body. This elastic PTHS can even work on a person's fingers without disturbing the body's movements. The open circuit voltage (OCV) and short circuit current (SCC) of devices with a projected area of 30 mm × 25 mm can reach 1.2 V and 30 nA, respectively. Two piezoelectrically-triboelectrically sensors with machine learning optimized identification strategies were experimentally proven as the potential applications of the PTHS. The PTHS's ultra-thin thickness, high stretchability and superior geometry control features are promising in electronic skin, artificial muscle and soft robotics. The novelty of this work is that a smart mask integrated with PTHS can generate signal of the hybrid sensor for the biomechanical motion classifier. After suitable training, an overall accuracy of 87.9% using long short-term memory (LSTM) can be achieved.
- Published
- 2020