RSS-based localization algorithm for indoor patient tracking
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Title of host publication | IEEE International Conference on Industrial Informatics (INDIN) |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1060-1064 |
ISBN (Print) | 9781509028702 |
Publication status | Published - 13 Jan 2017 |
Publication series
Name | |
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ISSN (Print) | 1935-4576 |
Conference
Title | 14th IEEE International Conference on Industrial Informatics, INDIN 2016 |
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Place | France |
City | Poitiers |
Period | 19 - 21 July 2016 |
Link(s)
Abstract
The application of localization in healthcare system is a crucial topic which helps to locate the position of patent or the elderly in case urgency happens. From this aspect, a wireless technology is adopted to provide an efficient localization monitoring system for patients or the elderly in indoor area. The location of patients can be obtained through the developed algorithm. Fuzzy C-Means clustering (FCM) is one of the applicable techniques to locate the position of patients. However, low accuracy of FCM is the main problem. For this reason, the revised FCM localization algorithm, Calibrated Fuzzy C-Means Clustering Algorithm (C-FCM) is proposed in this investigation based on received signal strength (RSS) in wearable device. The proposed algorithm is evaluated through experiment and it has a percentage improvement of 14% compared with FCM.
Research Area(s)
- clustering, Fuzzy C-Means, received signal strength (RSS), wearable healthcare
Citation Format(s)
RSS-based localization algorithm for indoor patient tracking. / Lee, Wah Ching; Hung, Faan Hei; Tsang, Kim Fung et al.
IEEE International Conference on Industrial Informatics (INDIN). Institute of Electrical and Electronics Engineers Inc., 2017. p. 1060-1064 7819321.
IEEE International Conference on Industrial Informatics (INDIN). Institute of Electrical and Electronics Engineers Inc., 2017. p. 1060-1064 7819321.
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with host publication) › peer-review