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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, School of Technology and Health (STH), Data- och elektroteknik (Closed 20130701).ORCID iD: 0000-0003-1668-9896
KTH, School of Technology and Health (STH), Centres, Centre for Technology in Medicine and Health, CTMH.
2012 (English)Other (Other (popular science, discussion, etc.))
Place, publisher, year, pages
2012.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-123219OAI: oai:DiVA.org:kth-123219DiVA: diva2:625489
Note

QC 20130605

Available from: 2013-06-04 Created: 2013-06-04 Last updated: 2016-11-24Bibliographically approved
In thesis
1. Multi-Sensor Data Synchronization using Mobile Phones
Open this publication in new window or tab >>Multi-Sensor Data Synchronization using Mobile Phones
2013 (English)Licentiate thesis, comprehensive summary (Other academic)
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. 

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2013. 17 p.
Series
Trita-STH : report, ISSN 1653-3836 ; 2013:5
Keyword
wireless body sensor networks, wireless personal area network, sport technology, Bluetooth performance, time synchronization, data fusion, mobile phone application.
National Category
Communication Systems
Identifiers
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 (English)
Opponent
Supervisors
Note

QC 20130605

Available from: 2013-06-05 Created: 2013-06-04 Last updated: 2013-06-05Bibliographically approved

Open Access in DiVA

AugmentIT(68 kB)134 downloads
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Type fulltextMimetype application/pdf

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Wåhslén, JonasSturm, Dennis
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CiteExportLink to record
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Citation style
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