@article{ref1,
title="Detection of a suicide by hanging based on a 3-D image analysis",
journal="IEEE sensors journal",
year="2014",
author="Lee, Serin and Kim, Hanguen and Lee, Sangwon and Kim, Youngjae and Lee, Dongsung and Ju, Jinsun and Myung, Hyun",
volume="14",
number="9",
pages="2934-2935",
abstract="Prisoner suicide has been one of the leading causes of death in correctional facilities. In particular, since hanging is the most common suicide method, various systems have been proposed to detect and prevent hanging attempts. This letter presents the preliminary results of applying 3-D image recognition techniques to detect a partial suspension hanging attempt. This is the most frequently occurring method of hanging in prison settings, but is difficult to recognize using conventional methods. By using a 3-D camera and random forest, the experimental results show that the proposed detection algorithm can detect hanging suicide attempts with more than 95% accuracy. 2001-2012 IEEE.<p /> <p>Language: en</p>",
language="en",
issn="1530-437X",
doi="10.1109/JSEN.2014.2332070",
url="http://dx.doi.org/10.1109/JSEN.2014.2332070"
}