Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Time synchronization and data fusion for RGB-Depth cameras and inertial sensors in AAL applications
Show others and affiliations
2015 (English)In: 2015 IEEE International Conference on Communication Workshop, ICCW 2015, IEEE conference proceedings, 2015, p. 265-270Conference paper, Published paper (Refereed)
Resource type
Text
Abstract [en]

Ambient Assisted Living applications often need to integrate data from multiple sensors, to provide consistent information on the observed phenomena. Data fusion based on samples from several sensors requires accurate time synchronization with sufficient resolution, depending on the sensor sampling frequency. This work presents a technical platform for the efficient and accurate synchronization of the data captured from RGB-Depth cameras and wearable inertial sensors, that can be integrated in AAL solutions. A case study of sensor data fusion for Timed Up and Go test is also presented and discussed.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2015. p. 265-270
Keywords [en]
data fusion, depth camera, inertial sensor, synchronization, timed up and go, Cameras, Functional assessment, Inertial navigation systems, Wearable sensors, Wearable technology, Ambient assisted living, Multiple sensors, Sampling frequencies, Time synchronization, Sensor data fusion
National Category
Signal Processing Media Engineering
Identifiers
URN: urn:nbn:se:kth:diva-181539DOI: 10.1109/ICCW.2015.7247189ISI: 000380459900044Scopus ID: 2-s2.0-84947751787ISBN: 9781467363051 (print)OAI: oai:DiVA.org:kth-181539DiVA, id: diva2:900585
Conference
IEEE International Conference on Communication Workshop, ICCW 2015, 8 June 2015 through 12 June 2015
Note

QC 20160204

Available from: 2016-02-04 Created: 2016-02-02 Last updated: 2018-08-20Bibliographically approved
In thesis
1. Technical Solutions for Internet-based Wireless Sensor Networks in e-Health Applications
Open this publication in new window or tab >>Technical Solutions for Internet-based Wireless Sensor Networks in e-Health Applications
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

E-Health technology has developed rapidly in the last decade. Body-worn sen- sors have developed from an idea to a reality. Today, wireless sensors can perform functions from measuring heartbeats to advanced motion recognition. However, the integration of the various available solutions is still lacking. The research presented in this thesis examined important issues in wireless sensor networks and mobile phone systems for e-Health applications. The dissertation covers four essential areas for successful integration of IoT communication systems for e-Health. The first area is fusion of sensor data. In the previous licentiate thesis (2013), three algo- rithms were developed to synchronise data from multiple wireless sensors. The dissertation presents a method to merge data from wireless sensors with video streams. That was subsequently applied for automatic fall prevention and fall detec- tion using inertial sensors and a depth camera. The second area is mobile phone centric systems for Wi-Fi device-to-device sensor communication enabling mobility in ambient assisted living (AAL) services. The third area is a real-time monitoring and control system for Bluetooth wireless communication networks. Lastly, the dissertation presents a software framework to iteratively develop, tune and deploy functions in wireless sensor network using dynamic software updating.

Abstract [sv]

Teknikanvändandet inom hälsa har förändrats mycket under det senaste tio åren. Kroppsnära sensorer har gått från att vara en idé till att bli en verklighet. Idag finns trådlösa sensorer som kan mäta allt från hjärtslag till avancerad rörelseigenkänning. Integreringen av de olika tillgängliga lösningarna saknas emellertid fortfarande. Forskningen som presenterades i denna avhandling undersökte viktiga frågor i tråd- lösa sensornät och mobila system för e-hälsovård. Avhandlingen omfattar fyra viktiga områden för framgångsrik integrering av IoT-kommunikationssystem för e- hälsa. Det första området är synkronisering av sensordata. I den tidigare licentiat- uppsatsen (2013) utvecklades tre algoritmer för att synkronisera data från flera trådlösa sensorer. Avhandlingen presenterar även en metod för synkronisering av data från trådlösa sensorer med videoströmmar. Den användes därefter för automa- tisk fallhantering och falldetektering med hjälp av tröghetssensorer och en djupka- mera. Det andra området är analys av sensorkommunikation med Wi-Fi till mobilte- lefon för användarmobilitet. Det tredje området är ett realtidsövervaknings- och kontrollsystem för trådlösa Bluetooth-nätverk. Slutligen presenteras avhandlingen en mjukvara för att iterativt utveckla, ställa in och distribuera funktioner i trådlöst sensornätverk med dynamisk mjukvaruuppdatering.

Place, publisher, year, edition, pages
Stockholm, Sverige: KTH Royal Institute of Technology, 2018. p. 28
Keywords
e-Health, ambient assisted living, Internet of things, wireless body sensor networks, sports technology, Bluetooth, Wi-Fi, time synchronisation, sensor data fusion, mobile phone sensor communication, device-to-device communication, E-hälsa, Internet of things, trådlösa kroppsnära sensornät, idrottste- knologi, Bluetooth, Wi-Fi, tidssynkronisering, dynamisk mjukvaruuppdatering
National Category
Communication Systems Health Care Service and Management, Health Policy and Services and Health Economy
Research subject
Technology and Health
Identifiers
urn:nbn:se:kth:diva-233473 (URN)978-91-7729-899-1 (ISBN)
Public defence
2018-09-26, T2, Hälsovägen 11, Huddinge, 16:23 (English)
Opponent
Supervisors
Note

QC 20180821

Available from: 2018-08-21 Created: 2018-08-20 Last updated: 2018-08-21Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Wåhslén, JonasOrhan, IbrahimLindh, Thomas
By organisation
Computer and Electronic Engineering
Signal ProcessingMedia Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 399 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf