Development of IoT Healthcare Platform Model for the Elderly using Bigdata and Artificial Intelligence

Authors

  • Choong Hyong LEE Department of Bigdata & Industry Security, Namseoul University, Republic of Korea
  • Kigon PARK Department of Bigdata & Industry Security, Namseoul University, Republic of Korea
  • Sangwon LEE Department of Computer & Software Engineering, Wonkwang University, Republic of Korea

DOI:

https://doi.org/10.15379/ijmst.v10i1.1435

Keywords:

Artificial Intelligence, Bigdata, Healthcare, Internet of Things, Platform

Abstract

The entry into an ultra-old society in South Korea, the remarkable development of medical technology as well as the recent emergence of the Fourth Industrial Revolution have contributed to the steady growth of the silver industry in line with the demand for healthy lives of the elderly. However, the silver industry of South Korea is still a rudimentary level. The existing older telecare product was sensor-based and was able to respond at or after the accident. However, there are limitations in preventing and predicting accidents. In particular, preventive healthcare is very important because even in small accidents, older people can be at great risk. We intend to build a healthcare platform based on IoT, against this backdrop. Based on previous studies, we try to build a new concept of architecture by collecting, storing and analyzing data to overcome the limitations of existing platforms. It’s supposed to build cloud-based Bigdata storage that can collect and analyze real-time operating conditions for older people with cameras and mobile phones, and study algorithms for old-age care through Artificial Intelligence. This research would certainly give more safe accident prevention and health care for the elderly and the healthcare industry.

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Published

2023-06-01

How to Cite

[1]
C. H. . LEE, K. . PARK, and S. LEE, “Development of IoT Healthcare Platform Model for the Elderly using Bigdata and Artificial Intelligence”, ijmst, vol. 10, no. 1, pp. 108-113, Jun. 2023.