Representation of human gait trajectory through temporospatial image modelling.
Marker-based 2D temporospatial image modelling is a common strategy in characterizing human gait where Channel filtering, Threshold imaging, and Line feel algorithm are normally used in foreground segmentation targeting human lower limbs of a particular image frame. This paper presents Temporospatia...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English English |
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Asian Research Publishing Network
2016
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| Online Access: | http://irep.iium.edu.my/56437/ http://irep.iium.edu.my/56437/1/56437_REPRESENTATION%20OF%20HUMAN%20GAIT.pdf http://irep.iium.edu.my/56437/2/56437_REPRESENTATION%20OF%20HUMAN%20GAIT_SCOPUS.pdf |
| _version_ | 1848784737906196480 |
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| author | Akhtaruzzaman, Md. Shafie, Amir Akramin Khan, Md. Raisuddin |
| author_facet | Akhtaruzzaman, Md. Shafie, Amir Akramin Khan, Md. Raisuddin |
| author_sort | Akhtaruzzaman, Md. |
| building | IIUM Repository |
| collection | Online Access |
| description | Marker-based 2D temporospatial image modelling is a common strategy in characterizing human gait where Channel filtering, Threshold imaging, and Line feel algorithm are normally used in foreground segmentation targeting human lower limbs of a particular image frame. This paper presents Temporospatial Image Modelling approach in presenting segmented objects with spatiotemporal view by reflecting various poses of lower limbs for forward walking. Lower limbs joint movement characteristics and angle variations are also presented in this paper where pre-assigned marker-points are modelled in tracking the motion trajectories. Results show various patterns of motion trajectories and angle variations for Hip, Knee, Ankle, Heel, and Toe of lower limbs through observing the variations of times, locations, and spatiotemporal representations. The results also characterize that the Swing and Stance phases of a gait cycle are about 40% and 60% of a gait cycle respectively. © 2006-2016 Asian Research Publishing Network (ARPN). |
| first_indexed | 2025-11-14T16:42:01Z |
| format | Article |
| id | iium-56437 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:42:01Z |
| publishDate | 2016 |
| publisher | Asian Research Publishing Network |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-564372017-04-12T03:23:37Z http://irep.iium.edu.my/56437/ Representation of human gait trajectory through temporospatial image modelling. Akhtaruzzaman, Md. Shafie, Amir Akramin Khan, Md. Raisuddin TA Engineering (General). Civil engineering (General) TA349 Mechanics of engineering. Applied mechanics Marker-based 2D temporospatial image modelling is a common strategy in characterizing human gait where Channel filtering, Threshold imaging, and Line feel algorithm are normally used in foreground segmentation targeting human lower limbs of a particular image frame. This paper presents Temporospatial Image Modelling approach in presenting segmented objects with spatiotemporal view by reflecting various poses of lower limbs for forward walking. Lower limbs joint movement characteristics and angle variations are also presented in this paper where pre-assigned marker-points are modelled in tracking the motion trajectories. Results show various patterns of motion trajectories and angle variations for Hip, Knee, Ankle, Heel, and Toe of lower limbs through observing the variations of times, locations, and spatiotemporal representations. The results also characterize that the Swing and Stance phases of a gait cycle are about 40% and 60% of a gait cycle respectively. © 2006-2016 Asian Research Publishing Network (ARPN). Asian Research Publishing Network 2016 Article PeerReviewed application/pdf en http://irep.iium.edu.my/56437/1/56437_REPRESENTATION%20OF%20HUMAN%20GAIT.pdf application/pdf en http://irep.iium.edu.my/56437/2/56437_REPRESENTATION%20OF%20HUMAN%20GAIT_SCOPUS.pdf Akhtaruzzaman, Md. and Shafie, Amir Akramin and Khan, Md. Raisuddin (2016) Representation of human gait trajectory through temporospatial image modelling. ARPN Journal of Engineering and Applied Sciences Open Access, 11 (6). pp. 4105-4110. ISSN 1819-6608 http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0316_3929.pdf |
| spellingShingle | TA Engineering (General). Civil engineering (General) TA349 Mechanics of engineering. Applied mechanics Akhtaruzzaman, Md. Shafie, Amir Akramin Khan, Md. Raisuddin Representation of human gait trajectory through temporospatial image modelling. |
| title | Representation of human gait trajectory through temporospatial image modelling. |
| title_full | Representation of human gait trajectory through temporospatial image modelling. |
| title_fullStr | Representation of human gait trajectory through temporospatial image modelling. |
| title_full_unstemmed | Representation of human gait trajectory through temporospatial image modelling. |
| title_short | Representation of human gait trajectory through temporospatial image modelling. |
| title_sort | representation of human gait trajectory through temporospatial image modelling. |
| topic | TA Engineering (General). Civil engineering (General) TA349 Mechanics of engineering. Applied mechanics |
| url | http://irep.iium.edu.my/56437/ http://irep.iium.edu.my/56437/ http://irep.iium.edu.my/56437/1/56437_REPRESENTATION%20OF%20HUMAN%20GAIT.pdf http://irep.iium.edu.my/56437/2/56437_REPRESENTATION%20OF%20HUMAN%20GAIT_SCOPUS.pdf |