Research on fall detection algorithm for older adults in complex lighting environments based on improved YOLOv8n.

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Bibliographic Details
Title: Research on fall detection algorithm for older adults in complex lighting environments based on improved YOLOv8n.
Authors: Gan X; Department of Gynecology, The Affiliated Hospital of Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China., Lai Y; School of Intelligent Medicine and Information Engineering, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China., Xiao G; Department of Nursing, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China., Xiong Y; Department of Nursing, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China., Yu L; School of Intelligent Medicine and Information Engineering, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China., Zhou X; School of Intelligent Medicine and Information Engineering, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China., Wu S; School of Intelligent Medicine and Information Engineering, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China.
Source: Frontiers in public health [Front Public Health] 2026 Mar 24; Vol. 14, pp. 1787316. Date of Electronic Publication: 2026 Mar 24 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Editorial Office Country of Publication: Switzerland NLM ID: 101616579 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-2565 (Electronic) Linking ISSN: 22962565 NLM ISO Abbreviation: Front Public Health Subsets: MEDLINE
Database: MEDLINE Ultimate
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