Lineking: coffee shop wait-time monitoring using smartphones

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dc.citation.epage2058en_US
dc.citation.issueNumber10en_US
dc.citation.spage2045en_US
dc.citation.volumeNumber14en_US
dc.contributor.authorBulut, M. F.en_US
dc.contributor.authorDemirbas, M.en_US
dc.contributor.authorFerhatosmanoglu, H.en_US
dc.date.accessioned2016-02-08T09:36:02Z
dc.date.available2016-02-08T09:36:02Z
dc.date.issued2015en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.description.abstractThis article describes LineKing, a crowdsensing system for monitoring and forecasting coffee shop line wait times. LineKing consists of a smartphone component that provides automatic and accurate wait-time detection, and a cloud backend that uses the collected data to provide accurate wait-time estimation. LineKing is used on a daily basis by hundreds of users to monitor the wait-times of a coffee shop in the University at Buffalo, SUNY. The novel wait-time estimation algorithms of LineKing deployed at the cloud backend provide median absolute errors of less than 3 minutes.en_US
dc.identifier.doi10.1109/TMC.2014.2384032en_US
dc.identifier.eissn1558-0660
dc.identifier.issn1536-1233
dc.identifier.urihttp://hdl.handle.net/11693/20826
dc.language.isoEnglishen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/TMC.2014.2384032en_US
dc.source.titleIEEE Transactions on Mobile Computingen_US
dc.subjectCrowdsensingen_US
dc.subjectSmartphone applicationsen_US
dc.subjectWait-time estimationen_US
dc.subjectSignal encodingen_US
dc.subjectAbsolute erroren_US
dc.subjectCoffee shopsen_US
dc.subjectCrowdsensingen_US
dc.subjectTime detectionen_US
dc.subjectTime estimationen_US
dc.subjectTime monitoringen_US
dc.subjectWait timeen_US
dc.subjectSmartphonesen_US
dc.titleLineking: coffee shop wait-time monitoring using smartphonesen_US
dc.typeArticleen_US
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