Paper Info
Title
Rss-Based Localization Algorithm For Indoor Patient Tracking
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.
Year
Venue
Keywords
2016
2016 IEEE 14TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN)
received signal strength (RSS), Fuzzy C-Means, clustering, wearable healthcare
Field
DocType
ISSN
Data mining,Wireless,Wearable computer,Fingerprint recognition,Fuzzy logic,Algorithm,Engineering,Cluster analysis,RSS,Wireless sensor network,Patient Tracking
Conference
1935-4576
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Wah Ching Lee132.80
Faan Hei Hung275.99
Kim Fung Tsang36126.02
Chung Kit Wu4188.49
Hao Ran Chi5459.32