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Estimating Contextual Situations using Indicators from Smartphone Sensor Values
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Avdelningen för informations- och kommunikationssystem.
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Avdelningen för informations- och kommunikationssystem.ORCID-id: 0000-0002-1342-0966
2014 (engelsk)Inngår i: Proceedings - 2014 IEEE International Conference on Internet of Things, iThings 2014, 2014 IEEE International Conference on Green Computing and Communications, GreenCom 2014 and 2014 IEEE International Conference on Cyber-Physical-Social Computing, CPS 2014, 2014, s. 243-250, artikkel-id 7059668Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Current context-aware applications often use thelocation of a user as the only indication of the current situation.These existing applications are therefore limited in their situationawareness, because of the poor indoor resolution of the locationsensor and its high resource consumption. In response to theselimitations we present an approach to estimate the contextualsituation of a user without using resource inefficient locationsensors. Our proposed solution utilizes a wide range of lowpowered sensors, together with two modified machine learningtechniques to estimate the situation in a more resource efficientmanner. Simulations and a proof-of-concept application show thatthe situation of a user can be determined within 50 ms at anaccuracy above 90%, when only using the low energy sensorsavailable on a smartphone and its limited processing power.

sted, utgiver, år, opplag, sider
2014. s. 243-250, artikkel-id 7059668
HSV kategori
Identifikatorer
URN: urn:nbn:se:miun:diva-22582DOI: 10.1109/iThings.2014.43ISI: 000380548400034Scopus ID: 2-s2.0-84946690533Lokal ID: STCOAI: oai:DiVA.org:miun-22582DiVA, id: diva2:738574
Konferanse
2014 IEEE International Conference on Internet of Things, iThings 2014, Collocated with 2014 IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2014 and 2014 IEEE International Conference on Green Computing and Communications, GreenCom 2014; Taipei; Taiwan; 1 September 2014 through 3 September 2014; Category numberE5288; Code 111576
Tilgjengelig fra: 2014-08-18 Laget: 2014-08-18 Sist oppdatert: 2017-03-06bibliografisk kontrollert
Inngår i avhandling
1. Enabling fully distributed global services on the Internet-of Things
Åpne denne publikasjonen i ny fane eller vindu >>Enabling fully distributed global services on the Internet-of Things
2014 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
sted, utgiver, år, opplag, sider
Sundsvall: Mid Sweden University, 2014. s. 63
Serie
Mid Sweden University doctoral thesis, ISSN 1652-893X ; 208
HSV kategori
Identifikatorer
urn:nbn:se:miun:diva-24027 (URN)STC (Lokal ID)978-91-87557-93-4 (ISBN)STC (Arkivnummer)STC (OAI)
Disputas
2014-11-27, 10:00
Tilgjengelig fra: 2015-01-02 Laget: 2015-01-02 Sist oppdatert: 2017-03-06bibliografisk kontrollert

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