Measuring Glide Reflection Symmetry in Human Movements

abstract: Many studies on human walking pattern assume that adult gait is characterized by bilateral symmetrical behavior. It is well understood that maintaining symmetry in walking patterns increases energetic eciency. We present a framework to provide a quantitative assessment of human walking pat...

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Other Authors: Potaraju, Chaitanya Prakash (Author)
Format: Dissertation
Language:English
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/2286/R.I.45040
id ndltd-asu.edu-item-45040
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spelling ndltd-asu.edu-item-450402018-06-22T03:08:44Z Measuring Glide Reflection Symmetry in Human Movements abstract: Many studies on human walking pattern assume that adult gait is characterized by bilateral symmetrical behavior. It is well understood that maintaining symmetry in walking patterns increases energetic eciency. We present a framework to provide a quantitative assessment of human walking patterns, especially assessments related to symmetric and asymmetric gait patterns purely based on glide reflection. A Gliding symmetry score is calculated from the data obtained from Motion Capture(MoCap) system. Six primary joints (Shoulder, Elbow, Palm, Hip, Knee, Foot) are considered for this study. Two dierent abnormalities were chosen and studied carefully. All the two gaits were mimicked in controlled environment. The framework proposed clearly showed that it could distinguish the abnormal gaits from the ordinary walking patterns. This framework can be widely used by the doctors and physical therapists for kinematics analysis, bio-mechanics, motion capture research, sports medicine and physical therapy, including human gait analysis and injury rehabilitation. Dissertation/Thesis Potaraju, Chaitanya Prakash (Author) Turaga, Pavan Kumar (Advisor) Krishnamurthi, Narayanan (Committee member) Spanias, Andreas (Committee member) Arizona State University (Publisher) Computer science Glide Reflection Human locomotion Warping eng 60 pages Masters Thesis Electrical Engineering 2017 Masters Thesis http://hdl.handle.net/2286/R.I.45040 http://rightsstatements.org/vocab/InC/1.0/ All Rights Reserved 2017
collection NDLTD
language English
format Dissertation
sources NDLTD
topic Computer science
Glide Reflection
Human locomotion
Warping
spellingShingle Computer science
Glide Reflection
Human locomotion
Warping
Measuring Glide Reflection Symmetry in Human Movements
description abstract: Many studies on human walking pattern assume that adult gait is characterized by bilateral symmetrical behavior. It is well understood that maintaining symmetry in walking patterns increases energetic eciency. We present a framework to provide a quantitative assessment of human walking patterns, especially assessments related to symmetric and asymmetric gait patterns purely based on glide reflection. A Gliding symmetry score is calculated from the data obtained from Motion Capture(MoCap) system. Six primary joints (Shoulder, Elbow, Palm, Hip, Knee, Foot) are considered for this study. Two dierent abnormalities were chosen and studied carefully. All the two gaits were mimicked in controlled environment. The framework proposed clearly showed that it could distinguish the abnormal gaits from the ordinary walking patterns. This framework can be widely used by the doctors and physical therapists for kinematics analysis, bio-mechanics, motion capture research, sports medicine and physical therapy, including human gait analysis and injury rehabilitation. === Dissertation/Thesis === Masters Thesis Electrical Engineering 2017
author2 Potaraju, Chaitanya Prakash (Author)
author_facet Potaraju, Chaitanya Prakash (Author)
title Measuring Glide Reflection Symmetry in Human Movements
title_short Measuring Glide Reflection Symmetry in Human Movements
title_full Measuring Glide Reflection Symmetry in Human Movements
title_fullStr Measuring Glide Reflection Symmetry in Human Movements
title_full_unstemmed Measuring Glide Reflection Symmetry in Human Movements
title_sort measuring glide reflection symmetry in human movements
publishDate 2017
url http://hdl.handle.net/2286/R.I.45040
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