%0 Journal Article %1 KukkonenLagerspetzEtAl09pervasive %A Kukkonen, Joonas %A Lagerspetz, Eemil %A Nurmi, Petteri %A Andersson, Mikael %D 2009 %J Pervasive Computing %K v1205 ieee paper embedded ai mobile device sensor data processing recognition user interaction %N 2 %P 49-56 %R 10.1109/MPRV.2009.23 %T BeTelGeuse: A Platform for Gathering and Processing Situational Data %V 8 %X BeTelGeuse is an extensible data collection platform for mobile devices, which also automatically infers higher level context from sensor data. In this article, the authors introduce BeTelGeuse's architecture and current features, and evaluate its impact on mobile phone performance.

@article{KukkonenLagerspetzEtAl09pervasive, abstract = {BeTelGeuse is an extensible data collection platform for mobile devices, which also automatically infers higher level context from sensor data. In this article, the authors introduce BeTelGeuse's architecture and current features, and evaluate its impact on mobile phone performance.}, added-at = {2012-05-30T10:49:40.000+0200}, author = {Kukkonen, Joonas and Lagerspetz, Eemil and Nurmi, Petteri and Andersson, Mikael}, biburl = {https://www.bibsonomy.org/bibtex/2a3e817657d3935ff1c24b911d57fe697/flint63}, doi = {10.1109/MPRV.2009.23}, file = {IEEE Digital Library:2009/KukkonenLagerspetzEtAl09pervasive.pdf:PDF}, groups = {public}, interhash = {4e00c0e930edfbde41ce368012f4d084}, intrahash = {cf46f8a570a987eb5de8061b78230210}, issn = {1536-1268}, journal = {Pervasive Computing}, keywords = {v1205 ieee paper embedded ai mobile device sensor data processing recognition user interaction}, number = 2, pages = {49-56}, timestamp = {2016-05-17T21:27:53.000+0200}, title = {{BeTelGeuse:} A Platform for Gathering and Processing Situational Data}, username = {flint63}, volume = 8, year = 2009 }