Fall detection via human posture representation and support vector machine
Author:
Affiliation:
1. School of Electrical and Information Engineering, Tianjin University, Tianjin, P.R. China
Publisher
SAGE Publications
Subject
Computer Networks and Communications,General Engineering
Link
http://journals.sagepub.com/doi/pdf/10.1177/1550147717707418
Reference36 articles.
1. World Health Organization (WHO) and Ageing and Life Course Unit. WHO global report on falls prevention in older age. Report, WHO, Geneva, June 2008.
2. Fall Detection Devices and Their Use With Older Adults
3. Challenges, issues and trends in fall detection systems
4. A survey on fall detection: Principles and approaches
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