Author(s): Gowtham.Mamidisetti | B.Venkatesh
Journal: International Journal of Soft Computing & Engineering
ISSN 2231-2307
Volume: 3;
Issue: 5;
Start page: 174;
Date: 2013;
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Keywords: smart phone data | human behavior | mobility prediction | app usage prediction
ABSTRACT
This paper predicts two aspects of human behavior using smart phones as sensing devices. This paper introduces a method for predicting where users will go and which application they will use next by exploiting the rich contextual information from smart phone sensors. Our first goal is to understand which smart phone sensor data types are important for the two prediction tasks. Secondly, we aim at extracting user independent behavioral patterns and study how user independent behavior models can improve the predictive performance.
Journal: International Journal of Soft Computing & Engineering
ISSN 2231-2307
Volume: 3;
Issue: 5;
Start page: 174;
Date: 2013;
VIEW PDF
DOWNLOAD PDF Original pageKeywords: smart phone data | human behavior | mobility prediction | app usage prediction
ABSTRACT
This paper predicts two aspects of human behavior using smart phones as sensing devices. This paper introduces a method for predicting where users will go and which application they will use next by exploiting the rich contextual information from smart phone sensors. Our first goal is to understand which smart phone sensor data types are important for the two prediction tasks. Secondly, we aim at extracting user independent behavioral patterns and study how user independent behavior models can improve the predictive performance.
