@article{
 title = {BeTelGeuse: A Platform for Gathering and Processing Situational Data},
 type = {article},
 year = {2009},
 identifiers = {[object Object]},
 keywords = {context,mobile-computing,summarized,ubicomp},
 pages = {49-56},
 volume = {8},
 websites = {http://dx.doi.org/10.1109/mprv.2009.23},
 month = {4},
 publisher = {IEEE},
 institution = {Helsinki Inst. for Inf. Technol., Helsinki},
 id = {49cc4048-f9d2-3e15-81be-833db22fe0cc},
 created = {2018-07-12T21:32:13.112Z},
 file_attached = {false},
 profile_id = {f954d000-ce94-3da6-bd26-b983145a920f},
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 last_modified = {2018-07-12T21:32:13.112Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {kukkonen:betelgeuse},
 source_type = {article},
 notes = {They describe a flexible, portable, extensible platform for authoring context-aware applications for mobile phones, particularly apps intended for use in user studies.},
 private_publication = {false},
 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.},
 bibtype = {article},
 author = {Kukkonen, J and Lagerspetz, E and Nurmi, P and Andersson, M},
 journal = {IEEE Pervasive Computing},
 number = {2}
}

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