INDOOR HUMAN FALL DETECTION SYSTEM BASED ON AUTOMATIC VISION USING COMPUTER VISION AND MACHINE LEARNING ALGORITHMS
The detection of unnatural falls among older adults living alone at home is an essential requirement of the day. Injury after a fall is common, and immediate medication is often necessary. A fall detection system using the following features such as orientation angle, aspect ratio, Motion History Im...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Taylor's University
2018-08-01
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Series: | Journal of Engineering Science and Technology |
Subjects: | |
Online Access: | http://jestec.taylors.edu.my/Vol%2013%20issue%208%20August%202018/13_8_22.pdf |