Using mobile sensing on smartphones for the management of daily life tasks

dc.contributor.authorMenon, Dilip
dc.contributor.authorKorkut, Safak
dc.contributor.authorInglese, Terry
dc.contributor.authorDornberger, Rolf
dc.contributor.editorDornberger, Rolf
dc.date.accessioned2024-03-13T12:39:23Z
dc.date.available2024-03-13T12:39:23Z
dc.date.issued2020
dc.description.abstractToday, all smartphones contain a variety of embedded sensors capable of monitoring and measuring relevant physical qualities and quantities, such as light or noise intensity, rotation and acceleration, magnetic field, humidity, etc. Combining data from these different sensors and deriving new practical information is the way to enhance the capabilities of such sensors, known as sensor fusion or multimodal sensing. However, the authors hypothesize that the sensing technology that is embedded in smartphones may also support daily life task management. Because one of the biggest challenges in mobile sensing on smartphones is the lack of appropriate unified data analysis models and common software toolkits, the authors have developed a prototype for a mobile sensing architecture, called Sensing Things Done (STD). With this prototype, by applying multimodal sensing and gathering sensor data from performing a specific set of tasks, the authors were able to conduct a feasibility study to investigate the hypothesis set above. Having examined to what extent the task-related activities could be detected automatically by using sensors of a standard smartphone, the authors of this chapter describe the conducted study and provide derived recommendations
dc.identifier.doi10.1007/978-3-030-48332-6_5
dc.identifier.isbn978-3-030-48331-9
dc.identifier.isbn978-3-030-48332-6
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/42721
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofNew trends in business information systems and technology. Digital innovation and digital business transformation
dc.spatialCham
dc.subject.ddc330 - Wirtschaft
dc.titleUsing mobile sensing on smartphones for the management of daily life tasks
dc.type04A - Beitrag Sammelband
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.ReviewTypeLectoring (ex ante)
fhnw.affiliation.hochschuleHochschule für Wirtschaftde_CH
fhnw.affiliation.institutInstitut für Wirtschaftsinformatikde_CH
fhnw.openAccessCategoryClosed
fhnw.pagination63-79
fhnw.publicationStatePublished
relation.isAuthorOfPublication79281801-c965-4a1c-afa5-3e9195745028
relation.isAuthorOfPublication9d4b2213-faa9-4797-8268-793afc77ec8f
relation.isAuthorOfPublication64196f63-c326-4e10-935d-6776cc91354c
relation.isAuthorOfPublication.latestForDiscovery79281801-c965-4a1c-afa5-3e9195745028
relation.isEditorOfPublication64196f63-c326-4e10-935d-6776cc91354c
relation.isEditorOfPublication.latestForDiscovery64196f63-c326-4e10-935d-6776cc91354c
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