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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

Vital Sign and Location/Attitude Monitoring with Sensor Networks for the Proposed Rescue System for Disabled and Elderly Persons Who Need a Help in Evacuation from Disaster Areas

Author 1: Kohei Arai
International Journal of Advanced Research in Artificial Intelligence (IJARAI) · Vol. 3, No. 1 · Published 2014 · Cited by 13

DOI: 10.14569/IJARAI.2014.030104

Abstract

Method and system for vital sign (Body temperature, blood pressure, bless, Heart beat pulse rate, and consciousness) and location/attitude monitoring with sensor network for the proposed rescue system for disabled and elderly persons who need a help in evacuation from disaster areas is proposed. Experimental results show that all of vital signs as well as location and attitude of the disabled and elderly persons are monitored with the proposed sensor networks.

Keywords

How to Cite this Article

Arai, K. (2014). Vital Sign and Location/Attitude Monitoring with Sensor Networks for the Proposed Rescue System for Disabled and Elderly Persons Who Need a Help in Evacuation from Disaster Areas. International Journal of Advanced Research in Artificial Intelligence, 3(1). https://doi.org/10.14569/IJARAI.2014.030104

Arai, Kohei. "Vital Sign and Location/Attitude Monitoring with Sensor Networks for the Proposed Rescue System for Disabled and Elderly Persons Who Need a Help in Evacuation from Disaster Areas." International Journal of Advanced Research in Artificial Intelligence, vol. 3, no. 1, 2014, https://doi.org/10.14569/IJARAI.2014.030104.

@article{Arai2014,
  title     = {Vital Sign and Location/Attitude Monitoring with Sensor Networks for the Proposed Rescue System for Disabled and Elderly Persons Who Need a Help in Evacuation from Disaster Areas},
  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.2014.030104},
  url       = {https://doi.org/10.14569/IJARAI.2014.030104}
}

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