Post-fall Detection Using ANN Based on Ranking Algorithms
- 7 August 2020
- journal article
- research article
- Published by Springer Science and Business Media LLC in International Journal of Precision Engineering and Manufacturing
- Vol. 21 (10), 1985-1995
- https://doi.org/10.1007/s12541-020-00398-6
Abstract
No abstract availableKeywords
Funding Information
- Ministry of Education, Science and Technology (2018R1D1A1B07048575)
- Ministry of Trade, Industry and Energy (20006386)
This publication has 33 references indexed in Scilit:
- Human fall detection on embedded platform using depth maps and wireless accelerometerComputer Methods and Programs in Biomedicine, 2014
- Detecting Falls with Wearable Sensors Using Machine Learning TechniquesSensors, 2014
- Detecting Falls as Novelties in Acceleration Patterns Acquired with SmartphonesPLOS ONE, 2014
- Portable hand motion classifier for multi-channel surface electromyography recognition using grey relational analysisExpert Systems with Applications, 2010
- Depletion ofDNMT3ASuppressed Cell Proliferation and RestoredPTENin Hepatocellular Carcinoma CellJournal of Biomedicine and Biotechnology, 2010
- Inability to get up after falling, subsequent time on floor, and summoning help: prospective cohort study in people over 90BMJ, 2008
- Age Differences in Using a Rapid Step To Regain Balance During a Forward FallThe Journals of Gerontology, Series A: Biological Sciences and Medical Sciences, 1997
- Estimating attributes: Analysis and extensions of RELIEFLecture Notes in Computer Science, 1994
- A new strategy for multifunction myoelectric controlIEEE Transactions on Biomedical Engineering, 1993
- A Practical Approach to Feature SelectionPublished by Elsevier BV ,1992