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Research Article | Open Access |

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) · Vol. 3, No. 1 · Published 2014 · Cited by 6

DOI: 10.14569/IJARAI.2014.030105

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

How to Cite this Article

Arai, K. (2014). 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, 3(1). https://doi.org/10.14569/IJARAI.2014.030105

Arai, Kohei. "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, vol. 3, no. 1, 2014, https://doi.org/10.14569/IJARAI.2014.030105.

@article{Arai2014,
  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},
  volume    = {3},
  number    = {1},
  year      = {2014},
  publisher = {The Science and Information Organization},
  author    = {Kohei Arai},
  doi       = {10.14569/IJARAI.2014.030105},
  url       = {https://doi.org/10.14569/IJARAI.2014.030105}
}

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