The evaluation of depth image features for awakening event detection

• Main Authors: As'ari, Muhammad Amir, Zainal Abidin, Nur Afikah, Jamaludin, Mohd. Najeb, Ismail, Lukman Hakim, Mohd. Latip, Hadafi Fitri
• Format: Article
• Language: English
• Published: Penerbit UTM Press 2018
• Subjects: Q Science (General)
• Online Access: http://eprints.utm.my/id/eprint/85477/1/MuhammadAmirAs%60Ari2018_TheEvaluationofDepthImageFeatures.pdf; http://eprints.utm.my/id/eprint/85477/; http://dx.doi.org/10.11113/mjfas.v14n1.980
• Institution: Universiti Teknologi Malaysia

Falls among bedridden would increase in number if they are left unsupervised by the caregivers. The aim of this study is to evaluate the features from the Kinect-like depth image representing the bedridden in detecting the awakening event as the event that falls might occur. The images from 20 subje...