An Event-Triggered Machine Learning Approach for Accelerometer-Based Fall Detection
Author:
Publisher
MDPI AG
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Link
http://www.mdpi.com/1424-8220/18/1/20/pdf
Reference44 articles.
1. Stop Falling: Start Saving Lives and Moneyhttp://www.ageuk.org.uk/documents/en-gb/campaigns/stop_falling_report_web.pdf?dtrk=true
2. Fallshttp://www.who.int/mediacentre/factsheets/fs344/en/
3. Consequences of falling in older men and women and risk factors for health service use and functional decline
4. Inability to get up after falling, subsequent time on floor, and summoning help: prospective cohort study in people over 90
5. Challenges, issues and trends in fall detection systems
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