@inproceedings{6264d624aa04402694c122a2869678a1,
title = "Fall detection based on depth image sequence",
abstract = "Fall is one of the most significant causes of injury in the elderly. In this paper, we propose two types of feature extraction methods to detect when the fall happens based on the Kinect depth image sequences. One is assuming there exists different position lines in the XYZ 3-dimensional space, it will be active when the moving object touches it. The other is mapping the image sequences to single image by Speed-Time Depth Mapping (STDM), and obtaining the 36-dimensiona features in this image. The results of experimental demonstrate the effectiveness of our method.",
keywords = "Depth image, Fall detection, Feature extraction, Kinect, SVM",
author = "Liangcan Liao and Guitao Cao and Wenming Cao",
year = "2017",
language = "英语",
series = "WMSCI 2017 - 21st World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings",
publisher = "International Institute of Informatics and Systemics, IIIS",
pages = "319--324",
editor = "Elina Gaile-Sarkane and Callaos, \{Nagib C.\} and Belkis Sanchez and Shigehiro Hashimoto and Natalja Lace",
booktitle = "WMSCI 2017 - 21st World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings",
note = "21st World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2017 ; Conference date: 08-07-2017 Through 11-07-2017",
}