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Electrical grid-independent machine learning-assisted wearable gait analysis device with triboelectric-electromagnetic hybrid energy harvester.

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Title: Electrical grid-independent machine learning-assisted wearable gait analysis device with triboelectric-electromagnetic hybrid energy harvester.
Authors: Ra Y; Department of Mechanical Engineering, Kyung Hee University, Yongin, 17104, South Korea; Department of Mechanical Engineering (Integrated Engineering Program), Kyung Hee University, Yongin, 17104, South Korea; School of Mechanical Engineering, Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju 61186, South Korea., Kim D; Autonomous Manufacturing Research Center, Korea Electronics Technology Institute, 42 Changeop-ro, Seongnam-si 13449, South Korea; Department of Artificial Intelligence, Kyung Hee University, Yongin, 17104, South Korea., Nam MS; Department of Mechanical Engineering, Kyung Hee University, Yongin, 17104, South Korea., Cho S; Department of Mechanical Engineering, Kyung Hee University, Yongin, 17104, South Korea; Department of Mechanical Engineering (Integrated Engineering Program), Kyung Hee University, Yongin, 17104, South Korea., Kim YS; Department of Mechanical Engineering, Kyung Hee University, Yongin, 17104, South Korea., Cho S; Department of Artificial Intelligence, Kyung Hee University, Yongin, 17104, South Korea., Jang S; Department of Mechanical Engineering (Integrated Engineering Program), Kyung Hee University, Yongin, 17104, South Korea., Lee D; Department of Mechanical Engineering, Kyung Hee University, Yongin, 17104, South Korea; Department of Mechanical Engineering (Integrated Engineering Program), Kyung Hee University, Yongin, 17104, South Korea., Um J; Department of Artificial Intelligence, Kyung Hee University, Yongin, 17104, South Korea; Department of Industrial and Management System Engineering, Kyung Hee University, Yongin, 17104, South Korea. Electronic address: jayum@khu.ac.kr., Heo YJ; Department of Mechanical Engineering, Kyung Hee University, Yongin, 17104, South Korea. Electronic address: yunjheo@khu.ac.kr., Choi D; Department of Mechanical Engineering, Kyung Hee University, Yongin, 17104, South Korea; Department of Mechanical Engineering (Integrated Engineering Program), Kyung Hee University, Yongin, 17104, South Korea. Electronic address: dongwhi.choi@khu.ac.kr.
Source: Biosensors & bioelectronics [Biosens Bioelectron] 2025 Nov 15; Vol. 288, pp. 117766. Date of Electronic Publication: 2025 Jul 08.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Advanced Technology Country of Publication: England NLM ID: 9001289 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-4235 (Electronic) Linking ISSN: 09565663 NLM ISO Abbreviation: Biosens Bioelectron Subsets: MEDLINE
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  Data: Electrical grid-independent machine learning-assisted wearable gait analysis device with triboelectric-electromagnetic hybrid energy harvester.
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  Data: <searchLink fieldCode="AU" term="%22Ra+Y%22">Ra Y</searchLink>; Department of Mechanical Engineering, Kyung Hee University, Yongin, 17104, South Korea; Department of Mechanical Engineering (Integrated Engineering Program), Kyung Hee University, Yongin, 17104, South Korea; School of Mechanical Engineering, Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju 61186, South Korea.<br /><searchLink fieldCode="AU" term="%22Kim+D%22">Kim D</searchLink>; Autonomous Manufacturing Research Center, Korea Electronics Technology Institute, 42 Changeop-ro, Seongnam-si 13449, South Korea; Department of Artificial Intelligence, Kyung Hee University, Yongin, 17104, South Korea.<br /><searchLink fieldCode="AU" term="%22Nam+MS%22">Nam MS</searchLink>; Department of Mechanical Engineering, Kyung Hee University, Yongin, 17104, South Korea.<br /><searchLink fieldCode="AU" term="%22Cho+S%22">Cho S</searchLink>; Department of Mechanical Engineering, Kyung Hee University, Yongin, 17104, South Korea; Department of Mechanical Engineering (Integrated Engineering Program), Kyung Hee University, Yongin, 17104, South Korea.<br /><searchLink fieldCode="AU" term="%22Kim+YS%22">Kim YS</searchLink>; Department of Mechanical Engineering, Kyung Hee University, Yongin, 17104, South Korea.<br /><searchLink fieldCode="AU" term="%22Cho+S%22">Cho S</searchLink>; Department of Artificial Intelligence, Kyung Hee University, Yongin, 17104, South Korea.<br /><searchLink fieldCode="AU" term="%22Jang+S%22">Jang S</searchLink>; Department of Mechanical Engineering (Integrated Engineering Program), Kyung Hee University, Yongin, 17104, South Korea.<br /><searchLink fieldCode="AU" term="%22Lee+D%22">Lee D</searchLink>; Department of Mechanical Engineering, Kyung Hee University, Yongin, 17104, South Korea; Department of Mechanical Engineering (Integrated Engineering Program), Kyung Hee University, Yongin, 17104, South Korea.<br /><searchLink fieldCode="AU" term="%22Um+J%22">Um J</searchLink>; Department of Artificial Intelligence, Kyung Hee University, Yongin, 17104, South Korea; Department of Industrial and Management System Engineering, Kyung Hee University, Yongin, 17104, South Korea. Electronic address: jayum@khu.ac.kr.<br /><searchLink fieldCode="AU" term="%22Heo+YJ%22">Heo YJ</searchLink>; Department of Mechanical Engineering, Kyung Hee University, Yongin, 17104, South Korea. Electronic address: yunjheo@khu.ac.kr.<br /><searchLink fieldCode="AU" term="%22Choi+D%22">Choi D</searchLink>; Department of Mechanical Engineering, Kyung Hee University, Yongin, 17104, South Korea; Department of Mechanical Engineering (Integrated Engineering Program), Kyung Hee University, Yongin, 17104, South Korea. Electronic address: dongwhi.choi@khu.ac.kr.
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  Data: <searchLink fieldCode="JN" term="%229001289%22">Biosensors & bioelectronics</searchLink> [Biosens Bioelectron] 2025 Nov 15; Vol. 288, pp. 117766. <i>Date of Electronic Publication: </i>2025 Jul 08.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Advanced+Technology%22">Elsevier Advanced Technology </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9001289 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1873-4235 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209565663%22">09565663 </searchLink><i>NLM ISO Abbreviation: </i>Biosens Bioelectron <i>Subsets: </i>MEDLINE
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              Text: 2025 Nov 15
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