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  2. School of Management and Law
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  4. Publikationen School of Management and Law
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dc.contributor.authorBloch, Andreas-
dc.contributor.authorErdin, Robert-
dc.contributor.authorMeyer, Sonja-
dc.contributor.authorKeller, Thomas-
dc.contributor.authorde Spindler, Alexandre-
dc.date.accessioned2018-12-17T09:31:48Z-
dc.date.available2018-12-17T09:31:48Z-
dc.date.issued2015-
dc.identifier.isbn978-1-4799-9972-9de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/13921-
dc.description.abstractThe ubiquitous presence of sensor-rich smartphones offers excellent opportunities to introspect individuals' contexts and activities such as the utilized modes of transport. Most of the current systems inferring transportation modes involve continuous sensing of GPS or acceleration modules, which inconveniently lead to an accelerated battery discharge. In response to this problem, this paper presents a more battery-efficient solution for the detection of transport modes. The proposed approach introduces an additional component to recognize users' mobility states, which are discriminated between stationary and moving based on cellular network information.de_CH
dc.language.isoende_CH
dc.publisherIEEEde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectFrameworkde_CH
dc.subjectTransportation means detectionde_CH
dc.subjectBattery-efficiencyde_CH
dc.subjectMobile devicede_CH
dc.subject.ddc004: Informatikde_CH
dc.titleBattery-efficient transportation mode detection on mobile devicesde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Management and Lawde_CH
zhaw.organisationalunitInstitut für Wirtschaftsinformatik (IWI)de_CH
dc.identifier.doi10.1109/MDM.2015.16de_CH
zhaw.conference.details16th IEEE International Conference on Mobile Data Management, Pittsburgh, USA, 15-18 June 2015de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end190de_CH
zhaw.pages.start185de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedings2015 16th IEEE International Conference on Mobile Data Managementde_CH
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Bloch, A., Erdin, R., Meyer, S., Keller, T., & de Spindler, A. (2015). Battery-efficient transportation mode detection on mobile devices [Conference paper]. 2015 16th IEEE International Conference on Mobile Data Management, 185–190. https://doi.org/10.1109/MDM.2015.16
Bloch, A. et al. (2015) ‘Battery-efficient transportation mode detection on mobile devices’, in 2015 16th IEEE International Conference on Mobile Data Management. IEEE, pp. 185–190. Available at: https://doi.org/10.1109/MDM.2015.16.
A. Bloch, R. Erdin, S. Meyer, T. Keller, and A. de Spindler, “Battery-efficient transportation mode detection on mobile devices,” in 2015 16th IEEE International Conference on Mobile Data Management, 2015, pp. 185–190. doi: 10.1109/MDM.2015.16.
BLOCH, Andreas, Robert ERDIN, Sonja MEYER, Thomas KELLER und Alexandre DE SPINDLER, 2015. Battery-efficient transportation mode detection on mobile devices. In: 2015 16th IEEE International Conference on Mobile Data Management. Conference paper. IEEE. 2015. S. 185–190. ISBN 978-1-4799-9972-9
Bloch, Andreas, Robert Erdin, Sonja Meyer, Thomas Keller, and Alexandre de Spindler. 2015. “Battery-Efficient Transportation Mode Detection on Mobile Devices.” Conference paper. In 2015 16th IEEE International Conference on Mobile Data Management, 185–90. IEEE. https://doi.org/10.1109/MDM.2015.16.
Bloch, Andreas, et al. “Battery-Efficient Transportation Mode Detection on Mobile Devices.” 2015 16th IEEE International Conference on Mobile Data Management, IEEE, 2015, pp. 185–90, https://doi.org/10.1109/MDM.2015.16.


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