Change search
ReferencesLink to record
Permanent link

Direct link
Motion cue analysis for parkinsonian gait recognition
Dalarna University, School of Technology and Business Studies, Computer Engineering.ORCID iD: 0000-0002-2752-3712
Dalarna University, School of Technology and Business Studies, Computer Engineering.ORCID iD: 0000-0003-0403-338X
Dalarna University, School of Technology and Business Studies, Computer Engineering.
2013 (English)In: The open biomedical engineering journal, ISSN 1874-1207, Vol. 7, 1-8 p.Article in journal (Refereed) Published
Abstract [en]

This paper presents a computer-vision based marker-free method for gait-impairment detection in Patients with Parkinson's disease (PWP). The system is based upon the idea that a normal human body attains equilibrium during the gait by aligning the body posture with Axis-of-Gravity (AOG) using feet as the base of support. In contrast, PWP appear to be falling forward as they are less-able to align their body with AOG due to rigid muscular tone. A normal gait exhibits periodic stride-cycles with stride-angle around 45o between the legs, whereas PWP walk with shortened stride-angle with high variability between the stride-cycles. In order to analyze Parkinsonian-gait (PG), subjects were videotaped with several gait-cycles. The subject's body was segmented using a color-segmentation method to form a silhouette. The silhouette was skeletonized for motion cues extraction. The motion cues analyzed were stride-cycles (based on the cyclic leg motion of skeleton) and posture lean (based on the angle between leaned torso of skeleton and AOG). Cosine similarity between an imaginary perfect gait pattern and the subject gait patterns produced 100% recognition rate of PG for 4 normal-controls and 3 PWP. Results suggested that the method is a promising tool to be used for PG assessment in home-environment.

Place, publisher, year, edition, pages
2013. Vol. 7, 1-8 p.
National Category
Computer Engineering
Research subject
Complex Systems – Microdata Analysis, E-MOTIONS, Beslutsstöd för Parkinsonbehandling
URN: urn:nbn:se:du-11881DOI: 10.2174/1874120701307010001PubMedID: 23407764OAI: diva2:607421

Open Access

Available from: 2013-02-22 Created: 2013-02-22 Last updated: 2016-06-03Bibliographically approved

Open Access in DiVA

fulltext(1496 kB)204 downloads
File information
File name FULLTEXT02.pdfFile size 1496 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

Publisher's full textPubMed

Search in DiVA

By author/editor
Khan, TahaWestin, JerkerDougherty, Mark
By organisation
Computer Engineering
Computer Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 204 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

Altmetric score

Total: 552 hits
ReferencesLink to record
Permanent link

Direct link