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http://dx.doi.org/10.3745/JIPS.04.0173

A Health Management Service with Beacon-Based Identification for Preventive Elderly Care  

Li, Jian-Wei (Dept. of Information and Communications, Chaoyang University of Technology)
Chang, Yi-Chun (Dept. of Computer Science and Information Engineering, Hungkuang University)
Xu, Min-Xiong (Dept. of Computer Science and Information Engineering, Hungkuang University)
Huang, De-Yao (Dept. of Computer Science and Information Engineering, Hungkuang University)
Publication Information
Journal of Information Processing Systems / v.16, no.3, 2020 , pp. 648-662 More about this Journal
Abstract
Bluetooth low energy (BLE) beacon is an actively push-to-broadcast electronic signal and can be used for object identification. This paper uses such beacon-based identification and Internet of Things (IoT) technologies for the elder health management service system to simplify the user interfaces and steps for preventive elder care. In the proposed system, an elder's family member, caregiver, or medical worker can conveniently and quickly record daily health management information. Besides, through the statistics and analysis of the data on the back end of the system, it is helpful for the elderly to refer to the data of daily care management and future management trends. Similarly, it is also an essential reference data for system maintenance and the new preventive health care services development.
Keywords
Beacon-Based Identification; Health Management Service; Preventive Elderly Care;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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1 L. C. Lu, "Depression and its prevention in older adults: perspectives of government educational documents," Journal of Tzu Chi University of Science and Technology, vol. 18, pp. 257-266, 2012.
2 J. Li, P. Jin, and Y. Liu, "The effect of an integrated e-health care model on the health and life-style of Chinese elderly: study protocol," in HCI International 2018 - Poster's Extended Abstracts. Cham: Springer, 2018, pp. 183-187
3 M. Belanger, N. Townsend, and C. Foster, "Age-related differences in physical activity profiles of English adults," Preventive Medicine, vol. 52, no. 3-4, pp. 247-249, 2011.   DOI
4 B. H. Hansen, E. Kolle, S. M. Dyrstad, I. Holme, and S. A. Anderssen, "Accelerometer-determined physical activity in adults and older people," Medicine & Science in Sports & Exercise, vol. 44, no. 2, pp. 266-272, 2012.   DOI
5 H. F. Hsieh and J. J. Wang, "Effect of reminiscence therapy on depression in older adults: a systematic review," International Journal of Nursing Studies, vol. 40, no. 4, pp. 335-345, 2003.   DOI
6 Y. C. Chang, J. W. Li, C. C. Lin, and F. S. Yang, "Multimedia push system based on a wellness slot machine," International Journal of Embedded Systems, vol. 12, no. 3, pp. 277-285, 2020.   DOI
7 E. Tak, R. Kuiper, A. Chorus, and M. Hopman-Rock, "Prevention of onset and progression of basic ADL disability by physical activity in community dwelling older adults: a meta-analysis," Ageing Research Reviews, vol. 12, no. 1, pp. 329-338, 2013.   DOI
8 X. Zeng, S. K. Garg, P. Strazdins, P. P. Jayaraman, D. Georgakopoulos, and R. Ranjan, "IOTSim: a simulator for analysing IoT applications," Journal of Systems Architecture, vol. 72, pp. 93-107, 2017.   DOI
9 C. Kerang, H. Lee, and H. Jung, "Task management system according to changes in the situation based on IoT," Journal of Information Processing Systems, vol. 13, no. 6, pp. 1459-1466, 2017.   DOI