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dc.contributor.author Wijesooriya, PN
dc.contributor.author Abeykoon, AMHS
dc.contributor.author Udawatta, L
dc.contributor.author Punchihewa, A
dc.contributor.author Nanayakkara, T
dc.date.accessioned 2016-04-26T03:20:51Z
dc.date.available 2016-04-26T03:20:51Z
dc.date.issued 2016-04-26
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/11687
dc.description.abstract Elephants have to maintain stability of a body weighing 2700 kg - 4500 kg in a wide range of unstructured terrain conditions. To achieve this, the dynamic walking control strategies of an elephant should be able to manage the large inertial forces working on the leg muscles. Therefore, understanding the gait patterns of an elephant can indicate the possible robust control strategies that an elephant may be adopting by exploiting its body dynamics and kinematics. This paper presents a simple method to analyze the gait patterns of an elephant using videos and snapshots. In the research, we have used three Asian elephants to capture videos and snapshots in order to obtain primary data. Finally, two outcomes were illustrated. Firstly, the ratios of body segments of the elephant were calculated using snapshots, and secondly, movements of the four limbs in the Sagittarius plane were measured and graphs were generated against time. Since the data used here were obtained from the images, errors can be occurred due to the scale of the image and measuring techniques. These errors were mitigated by carrying out appropriate error corrections. en_US
dc.language.iso en en_US
dc.relation.uri http://dx.doi.org/10.1109/ICIAFS.2012.6419908 en_US
dc.source.uri http://ieeexplore.ieee.org/search/searchresult.jsp?queryText=Gait%20Pattern%20Analysis%20of%20an%20Asian%20Elephant&newsearch=true en_US
dc.title Gait pattern analysis of an Asian elephant en_US
dc.type Conference-Abstract en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Department of Electrical Engineering en_US
dc.identifier.year 2012 en_US
dc.identifier.conference IEEE 6th International Conference on Information and Automation for Sustainability (ICIAFs) en_US
dc.identifier.pgnos pp. 221 - 226 en_US
dc.identifier.email nimeshawijesooriya@gmail.com en_US
dc.identifier.email harsha@elect.mrt.ac.lk en_US
dc.identifier.email lanka@elect.mrt.ac.lk en_US
dc.identifier.email G. A. Punchihewa@massey. ac .nz en_US
dc.identifier.email thrish.antha@kcl.ac.uk en_US


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