Change search
ReferencesLink to record
Permanent link

Direct link
Human Fall Detection Using Distributed Monostatic UWB Radars
Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, Department of Engineering Cybernetics.
2014 (English)MasteroppgaveStudent thesis
Abstract [en]

In a rapidly growing population of elderly people, a system that will allow more of them to stay home for a longer time is of large value to society. A large factor in elderly needing to move from their homes and into caring homes are the risk of injuries from falling. A system that incorporates fall detection will reduce the time it takes for aid to come will therefore be desired. It is also desirable for a system where the person under observation are not required to use any type of sensory equipment. This thesis explore the use of distributed radars for the purpose of fall detection without wearable sensors. In this thesis it will be presented methods for range estimating using returned reflections from the environment with the use of Ultra Wideband Radars and how to use these estimates for target localization. Through the use of weighted least square and nonlinear least square method, positions of objects are estimated in three dimensions. The problems of bias in the range estimates from the body not being a point are analyzed and the relation between radar placement and object position are also discussed. Lastly, the thesis presents a method for fall detection through determinate whether a person is lying on the floor over a time period.

Place, publisher, year, edition, pages
Institutt for teknisk kybernetikk , 2014. , 68 p.
URN: urn:nbn:no:ntnu:diva-25668Local ID: ntnudaim:10760OAI: diva2:739036
Available from: 2014-08-19 Created: 2014-08-19 Last updated: 2014-08-19Bibliographically approved

Open Access in DiVA

fulltext(6079 kB)586 downloads
File information
File name FULLTEXT01.pdfFile size 6079 kBChecksum SHA-512
Type fulltextMimetype application/pdf
cover(184 kB)2 downloads
File information
File name COVER01.pdfFile size 184 kBChecksum SHA-512
Type coverMimetype application/pdf
attachment(61036 kB)81 downloads
File information
File name ATTACHMENT01.zipFile size 61036 kBChecksum SHA-512
Type attachmentMimetype application/zip

By organisation
Department of Engineering Cybernetics

Search outside of DiVA

GoogleGoogle Scholar
Total: 586 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 177 hits
ReferencesLink to record
Permanent link

Direct link