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ExecutiveSummary of AugmentIT: A Smart Phone App that generates kinematic feedback based on augmented reality data e.g. vidoeo and IMU (or other sensor) data
KTH, Skolan för teknik och hälsa (STH), Data- och elektroteknik (Stängd 20130701).ORCID-id: 0000-0003-1668-9896
KTH, Skolan för teknik och hälsa (STH), Centra, Centrum för teknik i medicin och hälsa, CTMH.
2012 (engelsk)Annet (Annet (populærvitenskap, debatt, mm))
sted, utgiver, år, sider
2012.
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-123219OAI: oai:DiVA.org:kth-123219DiVA, id: diva2:625489
Merknad

QC 20130605

Tilgjengelig fra: 2013-06-04 Laget: 2013-06-04 Sist oppdatert: 2016-11-24bibliografisk kontrollert
Inngår i avhandling
1. Multi-Sensor Data Synchronization using Mobile Phones
Åpne denne publikasjonen i ny fane eller vindu >>Multi-Sensor Data Synchronization using Mobile Phones
2013 (engelsk)Licentiatavhandling, med artikler (Annet vitenskapelig)
Abstract [en]

Body sensor networking is a rapidly growing technology. Today wearable sensors are used to measure and monitor e.g. pulse, temperature, skin conductance, heart activity, and movement (through GPS or inertial measurement units). Mobile phones can act as coordinating nodes in wireless personal area networks used in home automation, healthcare, sport and wellness e.g. to measure pulse and distance. Integration of data from multiple sources sensors (data fusion) means that data from each sensor node needs to be associated with data from other sensor nodes sampled at approximately the same time. Accurate methods for time synchronization are therefore a necessary prerequisite for reliable data fusion.

This thesis studies time synchronization problems in Bluetooth piconets between multiple wireless sensor nodes connected to a mobile phone that acts as coordinating node. Three different algorithms to enable correct data fusion have been developed, implemented and evaluated. The first is a single clock solution that synchronizes multiple wireless sensor nodes based solely on the mobile phone’s clock. The other two algorithms synchronize the clocks in sensor nodes to the clock in the coordinating node. 

sted, utgiver, år, opplag, sider
Stockholm: KTH Royal Institute of Technology, 2013. s. 17
Serie
Trita-STH : report, ISSN 1653-3836 ; 2013:5
Emneord
wireless body sensor networks, wireless personal area network, sport technology, Bluetooth performance, time synchronization, data fusion, mobile phone application.
HSV kategori
Identifikatorer
urn:nbn:se:kth:diva-123222 (URN)978-91-7501-780-8 (ISBN)
Presentation
2013-06-12, LH3-515, Alfred Nobels allé 10, Huddinge, 14:15 (engelsk)
Opponent
Veileder
Merknad

QC 20130605

Tilgjengelig fra: 2013-06-05 Laget: 2013-06-04 Sist oppdatert: 2013-06-05bibliografisk kontrollert

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AugmentIT(68 kB)167 nedlastinger
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Fil FULLTEXT01.pdfFilstørrelse 68 kBChecksum SHA-512
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Type fulltextMimetype application/pdf

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