Pervasive and Mobile Computing ( ) Contents lists available at ScienceDirect Pervasive and [622621]

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June 25, 2018
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Pervasive and Mobile Computing ( ) – Contents lists available at ScienceDirect Pervasive and
Mobile Computing journal homepage: www.elsevier.com/locate/pmc Disorientation detection by
mining GPS trajectories for cognitively-impaired elders Qiang Lin a, , Daqing Zhang a,b, Kay
Connelly c, Hongbo Ni a, Zhiwen Yu a, Xingshe Zhou a a Shaanxi Key Lab of Embedded System
Technology, School of Computer Science, Northwestern Polytechnical University, China b Institut
Mines-Télécom/Télécom SudPais, France c School of Informatics and Computing, Indiana Univer-
sity, USA a r t i c l e i n f o Article history: Received 7 August 2013 Received in revised form 13
November 2013 Accepted 17 January 2014 Available online xxxx Keywords: Elderly care Dementia
Disorientation detection GPS trajectories a b s t r a c t The aging population is a major concern of
human society in the 21st century. Elders who suffer physical or cognitive impairments often have
difficulties in navigational tasks and remembering landmarks. As such, disorientation (i.e., getting
lost) becomes common for people with dementia in unfamiliar or even in familiar environments.
In order to provide appropriate real-time assistive services to these elders, such as reminders and
alerts, we propose a disorientation detection method that detects outliers in one’s GPS trajectories.
In particular, we first model an individual’s movement trajectories as a graph based on her histor-
ical GPS traces. We then identify outlying trajectories that have a defined wandering or deviating
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References
[Gre93] George D. Greenwade. The Comprehensive Tex Archive Network (CTAN). TUGBoat ,
14(3):342–351, 1993.
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