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

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Bibliographic Details
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
Database: MEDLINE Ultimate
Description
ISSN:1873-4235
DOI:10.1016/j.bios.2025.117766