NDLI: Detecting wandering behavior based on GPS traces for elders with dementia

Content Provider	IEEE Xplore Digital Library
Author	Qiang Lin Daqing Zhang Xiaodi Huang Hongbo Ni Xingshe Zhou
Copyright Year	2012
Description	Author affiliation: Institute TELECOM SudParis, Evry, France, 91000 (Daqing Zhang) \|\| Shaanxi Key Lab of Embedded System Technology, School of Computer Science, Northwestern Polytechnical University, Xi'an, China 710129 (Qiang Lin; Hongbo Ni; Xingshe Zhou) \|\| School of Computing and Mathematics, Charles Sturt University, Albury, NSW 2640, Australia (Xiaodi Huang)
Abstract	Wandering is among the most frequent, problematic, and dangerous behaviors for elders with dementia. Frequent wanderers likely suffer falls and fractures, which affect the safety and quality of their lives. In order to monitor outdoor wandering of elderly people with dementia, this paper proposes a real-time method for wandering detection based on individuals' GPS traces. By representing wandering traces as loops, the problem of wandering detection is transformed into detecting loops in elders' mobility trajectories. Specifically, the raw GPS data is first preprocessed to remove noisy and crowded points by performing an online mean shift clustering. A novel method called θ_WD is then presented that is able to detect loop-like traces on the fly. The experimental results on the GPS datasets of several elders have show that the θ_WD method is effective and efficient in detecting wandering behaviors, in terms of detection performance (AUC > 0.99, and 90% detection rate with less than 5 % of the false alarm rate), as well as time complexity.
Starting Page	672
Ending Page	677
File Size	278090
Page Count	6
File Format	PDF
ISBN	9781467318716
e-ISBN	9781467318723
e-ISBN	9781467318709
DOI	10.1109/ICARCV.2012.6485238
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-05
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Global Positioning System Dementia Monitoring Lapping Vectors Safety Noise measurement wandering detection elderly care dementia GPS trace wandering behavior
Content Type	Text
Resource Type	Article

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