Fall detection paradigm for embedded devices based on YOLOv8
Author:
Affiliation:
1. Democritus University of Thrace,Department of Production and Management Engineering,Xanthi,Greece,GR-671 32
2. JD Health International Inc,Beijing,China,100176
3. University of Maryland,Department of Computer Science,College Park,MD,USA,20742
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10355649/10355650/10355696.pdf?arnumber=10355696
Reference42 articles.
1. Falls,2021
2. Elderly Fall Detection Systems: A Literature Survey
3. Fall Detection System for Healthcare Quality Improvement in Residential Care Facilities;Huang;J. Medical and Biological Engineering,2010
4. Wearable Stretch Sensors for Human Movement Monitoring and Fall Detection in Ergonomics
5. Sensor Technologies for Fall Detection Systems: A Review
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