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

• 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/15345/1/Development%20of%20wearable%20human%20fall%20detection%20system%20using%20multilayer%20perceptron%20neural%20network.pdf; http://psasir.upm.edu.my/id/eprint/15345/; https://www.tandfonline.com/doi/abs/10.1080/18756891.2013.761769

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...