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 ISBN/ISSN)

View graph of relations

Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publicationIEEE International Conference on Industrial Informatics (INDIN)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1060-1064
ISBN (Print)9781509028702
Publication statusPublished - 13 Jan 2017

Publication series

Name
ISSN (Print)1935-4576

Conference

Title14th IEEE International Conference on Industrial Informatics, INDIN 2016
PlaceFrance
CityPoitiers
Period19 - 21 July 2016

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; Wu, Chung Kit; Chi, Hao Ran.

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 ISBN/ISSN)