Extracting high-level user context from low-level mobile sensors data

Many modern smart mobile devices integrate a multitude of various sensors which can enrich the usability of today mobile applications. However, collecting and analyzing data from sensors requires increased processing, storage and energy resources on mobile devices. On the other hand, context-aware mobile applications require an estimation of high-level user context, in order to provide the user with specific services. It is not simple to model and estimate in real-time user context, even though a lot of low-level sensors data are available. Therefore, in this paper we investigate how data collected from different mobile sensors and communication interfaces can be used to extract the user context.

[1]  Hui Lei,et al.  Context-aware unified communication , 2004, IEEE International Conference on Mobile Data Management, 2004. Proceedings. 2004.

[2]  Gary M. Weiss,et al.  Activity recognition using cell phone accelerometers , 2011, SKDD.

[3]  Gaetano Borriello,et al.  Mobile Context Inference Using Low-Cost Sensors , 2005, LoCA.

[4]  Mika Raento,et al.  ContextPhone: a prototyping platform for context-aware mobile applications , 2005, IEEE Pervasive Computing.

[5]  Romit Roy Choudhury,et al.  SurroundSense: mobile phone localization via ambience fingerprinting , 2009, MobiCom '09.

[6]  David Kotz,et al.  Extracting a Mobility Model from Real User Traces , 2006, Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications.

[7]  Diogo R. Ferreira,et al.  Providing user context for mobile and social networking applications , 2010, Pervasive Mob. Comput..

[8]  Jani Mäntyjärvi,et al.  Managing Context Information in Mobile Devices , 2003, IEEE Pervasive Comput..

[9]  Guanling Chen,et al.  A Survey of Context-Aware Mobile Computing Research , 2000 .

[10]  Andreas Krause,et al.  Context-aware mobile computing: learning context- dependent personal preferences from a wearable sensor array , 2006, IEEE Transactions on Mobile Computing.

[11]  Shivakant Mishra,et al.  Fusing mobile, sensor, and social data to fully enable context-aware computing , 2010, HotMobile '10.

[12]  Emiliano Miluzzo,et al.  A survey of mobile phone sensing , 2010, IEEE Communications Magazine.

[13]  Anind K. Dey,et al.  Understanding and Using Context , 2001, Personal and Ubiquitous Computing.