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Where and What: Using Smartphones to Predict Next Locations and Applications in Daily Life
Type of publication: Journal paper
Citation: Do_PMC_2013
Publication status: Published
Journal: Pervasive and Mobile Computing
Year: 2013
Month: May
Abstract: This paper investigates the prediction of two aspects of human behavior us- ing smartphones as sensing devices. We present a framework for predicting where users will go and which app they will use in the next ten minutes by ex- ploiting the rich contextual information from smartphone sensors. Our first goal is to understand which smartphone sensor data types are important for the two prediction tasks. Secondly, we aim at extracting generic (i.e., user- independent) behavioral patterns and study how generic behavior models can improve the predictive performance of personalized models. Experimen- tal validation was conducted on the Lausanne Data Collection Campaign (LDCC) dataset, with longitudinal smartphone data collected over a period of 17 months from 71 users.
Projects Idiap
Authors Do, Trinh-Minh-Tri
Gatica-Perez, Daniel
Added by: [UNK]
Total mark: 0
  • Do_PMC_2013.pdf