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DOI: 10.14569/IJARAI.2014.030105
PDF

Method and System for Human Action Detections with Acceleration Sensors for the Proposed Rescue System for Disabled and Elderly Persons Who Need a Help in Evacuation from Disaster Area

Author 1: Kohei Arai

International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 3 Issue 1, 2014.

  • Abstract and Keywords
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Abstract: Method and system for human action detections with acceleration sensors for the proposed rescue system for disabled and elderly persons who need a help in evacuation from disaster areas is proposed. Not only vital signs, blood pressure, heart beat pulse rate, body temperature, bless and consciousness, but also, the location and attitude of the persons have to be monitored for the proposed rescue system. The attitude can be measured with acceleration sensors. In particular, it is better to discriminate the attitudes, sitting, standing up, and lying down. Also, action speed has to be detected. Experimental results show that these attitude monitoring can be done with acceleration sensors.

Keywords: vital sign; heart beat puls ratee; body temperature; blood pressure; blesses, consciousnes; seonsor network

Kohei Arai , “Method and System for Human Action Detections with Acceleration Sensors for the Proposed Rescue System for Disabled and Elderly Persons Who Need a Help in Evacuation from Disaster Area” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 3(1), 2014. http://dx.doi.org/10.14569/IJARAI.2014.030105

@article{2014,
title = {Method and System for Human Action Detections with Acceleration Sensors for the Proposed Rescue System for Disabled and Elderly Persons Who Need a Help in Evacuation from Disaster Area},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2014.030105},
url = {http://dx.doi.org/10.14569/IJARAI.2014.030105},
year = {2014},
publisher = {The Science and Information Organization},
volume = {3},
number = {1},
author = {Kohei Arai }
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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