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Representation of human gait trajectory through temporospatial image modelling.

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

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Abstract

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).

Item Type: Article (Journal)
Additional Information: 5119/56437
Uncontrolled Keywords: Gait analysis; Image processing; Spatiotemporal image; Temporospatial modelling; Walking gait
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TA Engineering (General). Civil engineering (General) > TA349 Mechanics of engineering. Applied mechanics
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Engineering
Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Dr Amir Shafie
Date Deposited: 12 Apr 2017 11:23
Last Modified: 12 Apr 2017 11:23
URI: http://irep.iium.edu.my/id/eprint/56437

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