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Research Article | Open Access |

Rescue System with Health Condition Monitoring Together with Location and Attitude Monitoring as Well as the Other Data Acquired with Mobile Devices

Author 1: Kohei Arai Author 2: Taka Eguchi
International Journal of Advanced Research in Artificial Intelligence (IJARAI) · Vol. 5, No. 1 · Published 2016

DOI: 10.14569/IJARAI.2016.050102

Abstract

Rescue system with health condition monitoring together with location and attitude monitoring as well as the other data acquired with mobile devices is proposed. Backup system for location estimation is also proposed. On behalf of GPS receivers and WiFi beacon receivers, ZigBee is used as a backup system. Attitude can be monitored with acceleration-meters equipped in the commercially available smart phones and i-phones. Also, the number of steps and calorie consumptions can be monitored with the commercially available smart phones and i-phones. By using these body attached sensors, health condition of the persons who need a help for rescue when the emergency situations can be monitored and used for rescue planning and triage. Overall system configuration is proposed together with the detailed system descriptions with some of the experimental data.

Keywords

How to Cite this Article

Arai, K., & Eguchi, T. (2016). Rescue System with Health Condition Monitoring Together with Location and Attitude Monitoring as Well as the Other Data Acquired with Mobile Devices. International Journal of Advanced Research in Artificial Intelligence, 5(1). https://doi.org/10.14569/IJARAI.2016.050102

Arai, Kohei, and Taka Eguchi. "Rescue System with Health Condition Monitoring Together with Location and Attitude Monitoring as Well as the Other Data Acquired with Mobile Devices." International Journal of Advanced Research in Artificial Intelligence, vol. 5, no. 1, 2016, https://doi.org/10.14569/IJARAI.2016.050102.

@article{Arai2016,
  title     = {Rescue System with Health Condition Monitoring Together with Location and Attitude Monitoring as Well as the Other Data Acquired with Mobile Devices},
  journal   = {International Journal of Advanced Research in Artificial Intelligence},
  volume    = {5},
  number    = {1},
  year      = {2016},
  publisher = {The Science and Information Organization},
  author    = {Kohei Arai and Taka Eguchi},
  doi       = {10.14569/IJARAI.2016.050102},
  url       = {https://doi.org/10.14569/IJARAI.2016.050102}
}

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