Development of wearable human fall detection system using multilayer perceptron neural network

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Development of wearable human fall detection system using multilayer perceptron neural network

This paper presents an accurate wearable fall detection system which can identify the occurrence of falls among elderly population. A waist worn tri-axial accelerometer was used to capture the movement signals of human body. A set of laboratory-based falls and activities of daily living (ADL) were p...

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Bibliographic Details
Main Authors:	Kerdegari, Hamideh, Samsudin, Khairulmizam, Ramli, Abdul Rahman, Ghotoorlar, Saeid Mokaram
Format:	Article
Language:	English
Published:	Atlantis Press and Taylor & Francis 2013
Online Access:	http://psasir.upm.edu.my/id/eprint/15345/ http://psasir.upm.edu.my/id/eprint/15345/1/Development%20of%20wearable%20human%20fall%20detection%20system%20using%20multilayer%20perceptron%20neural%20network.pdf

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