Cluster Computing

, Volume 22, Supplement 1, pp 1847–1859 | Cite as

Development of healthcare service model using physical information data based on cluster sensing technology

  • Bong-Hyun Kim
  • Jai-Woo OhEmail author


Socially vulnerable groups are exposed to more than average risk of safety accidents. In the elderly, safety accidents are increasing due to the aging and disease of the body as the age increases and the degree of injury is serious. As new products and facilities appear, children are increasing the risks and risks as a result children who are vulnerable are exposed to the risk of safety accidents. Therefore, in this paper, we designed and implemented a healthcare based wearable service model for real-time situation recognition of vulnerable groups. Therefore, the base station, which is a relay service equipment, as a single communication line is connect to the Internet. In addition, beacon method, which has less distance measurement error than GPS, is used for position location, and advantage of beacon itself is advantageous for indoor location. Also, the Bluetooth type beacon is applied to provide convenience because it can last up to 2 years when we use coin cell battery. Finally, the wearable type is designed and implemented as a watch type. In the wearable watch type the temperature sensor, the acceleration sensor and the heartbeat sensor are integrated method. Through this, physical information and location information were collected and analyzed from the subjects.


Healthcare system Wearable service Cluster sensing Physical information Watch type model 


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Copyright information

© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  1. 1.Department of Smart ITU1 UniversityYeongdong-gunKorea
  2. 2.Department of Health ManagementKyungdong UniversityWonju-siKorea

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