Amir Shafie | International Islamic University Malaysia (original) (raw)
Papers by Amir Shafie
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IIUM Press eBooks, 2011
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IIUM Press eBooks, 2011
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Journal of Mechanics in Medicine and Biology, Nov 1, 2016
Human gait is the identity of a person's style and quality of life. Reliable cognition of gai... more Human gait is the identity of a person's style and quality of life. Reliable cognition of gait properties over time, continuous monitoring, accuracy of evaluation, and proper analysis of human gait characteristics have demonstrated their importance not only in clinical and medical studies, but also in the field of sports, rehabilitation, training, and robotics research. Focusing on walking gait, this study presents an overview on gait mechanisms, common technologies used in gait analysis, and importance of this particular field of research. Firstly, available technologies that involved in gait analysis are briefly introduced in this paper by concentrating on the usability and limitations of the systems. Secondly, key gait parameters and motion characteristics are elucidated from four angles of views; one: gait phases and gait properties; two: center of mass and center of pressure (CoM-CoP) tracking profile; three: Ground Reaction Force (GRF) and impact, and four: muscle activation. Thirdly, the study focuses on the clinical observations of gait patterns in diagnosing gait abnormalities of impaired patients. The presentation also shows the importance of gait analysis in sports to improve performance as well as to avoid risk of injuries of sports personnel. Significance of gait analysis in robotic research is also illustrated in this part where the study focuses on robot assisted systems and its possible applicability in clinical rehabilitation and sports training.
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Pattern Recognition, May 1, 2016
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Advances in Applied Science Research, 2011
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Indonesian Journal of Electrical Engineering and Informatics, Jan 31, 2023
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The use of local facial features is frequently adopted in many Nearest Neighbours (NN) approaches... more The use of local facial features is frequently adopted in many Nearest Neighbours (NN) approaches in face classification. These collections features are then individually classified against labelled features resembling an ensembles of simpler learners to improve prediction. In this paper, a new variant of ensembles of NN is proposed for classification of local features, namely ensembles of Large Margin Nearest Neighbour (soft-LMNN) classifier. Likewise, we proposea way to arrange local feature called Grouped Lateral Patch (GLP) to overcome the limitations of Single Lateral Patch (SLP). Since the performance of any NN method varies depending on the type of distance metrics used, we investigate the performance of ensembles of NN classifiers when Euclidean, Cosine, Manhattan, Chebychev and Minkowski distance metrics are used. From various experiments conducted, we found that soft-LMNN variant delivers best classification performance when compared against other NN variants, while Cosine and Manhattan distance metric performs best when used with locally normalized Gabor feature vectors and pixel intensity respectively. Our results also demonstrate that in general, ensembles of NN performs face classification nearly 14% more accurate than Support Vector Machine.
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Many research works have proven the superiority of Gabor Wavelets as a feature descriptor for fac... more Many research works have proven the superiority of Gabor Wavelets as a feature descriptor for face classification as compared to other methods. However, most implementations used some commonly used values for Gabor parameters and we proposed that the performance of Gabor-based face recognition can be improved by proper optimization of Gabor parameters. Here in this paper we used Ant Colony Optimization to find the most optimal value for several Gabor parameters - the step frequency, maximum frequency and σ - that produced maximum classification accuracy. Additionally, due to high complexity of Gabor wavelets computation, we examine as well the feasibility of Gabor wavelets to be used in a real-time face recognition system. Using AR face dataset, we tested two classifiers namely Nearest Neighbor and ensembles of NN to determine which classifier would best suit a real-time implementation and delivers best performance. As a result we found that proper optimization would yield as high as 18% increase in face classification accuracy and it is actually feasible to use Gabor wavelets in a real-time system. We recommend using holistic implementation and NN method as classifier in order to achieve real-time performance for a Gabor-based face recognition system.
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As a high redundancy system with high flexibility, disaster rescue robot is a demand for search a... more As a high redundancy system with high flexibility, disaster rescue robot is a demand for search and rescue inside collapsed buildings. A smart material actuated autonomous flexible snake robot is developed in this paper that is able to perform 3D (degree) motion. Real snake flexibility can be realized from 3D motion of the proposed flexible snake robot. The modelling of n-link snake robot is discussed first and then verified experimentally. Online gait generation is done using Central pattern generator (CPG) control system for autonomous navigation of the snake robot. The illustration of the robot modelling has been performed both theoretically and experimentally. The CPG-based online gait generation method allows continuous motion.
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IIUM Press eBooks, 2011
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IIUM Press eBooks, 2011
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Continuous monitoring, accuracy of evaluation, and proper analysis of human gait characteristics ... more Continuous monitoring, accuracy of evaluation, and proper analysis of human gait characteristics have presented the importance not only in clinical studies, but also in the field of sports, rehabilitation, training, and robotics research. Human knee joint plays an important role in balancing and stabilizing human body while walking. So it is obvious to observe knee joint movement characteristics as a part of gait analysis. In this paper, instrumentation for capturing knee joint movement pattern is presented. The instrumentation is designed based on Electro-goniometric mechanism with flexible joints on arms that attached with upper and lower extremity of lower limbs. The electrical signals obtained from the instrumentation are calibrated carefully to present the movement angles in degree. The instrumentation system is viable to represent knee movement pattern of human walking which is compared with the result of image based analysis.
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... 2008;18(11):865-867. 3. MinistryofHealth.Healthfacts.http://www.moh.gov.my/MohPortal/ health_... more ... 2008;18(11):865-867. 3. MinistryofHealth.Healthfacts.http://www.moh.gov.my/MohPortal/ health_fact.jsp. Accessed 18 April 2009, 2009. 4. Goh A, Din RM, Aryani F, Othman NH, Zakaria NA. Expenditure on medicines in Malaysia. In: Rahman SSA, Sivanandam S, eds. ...
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International Journal of Automation and Computing, Jan 18, 2017
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IIUM Press eBooks, 2011
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IIUM Press eBooks, 2011
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Journal of Mechanics in Medicine and Biology, Nov 1, 2016
Human gait is the identity of a person's style and quality of life. Reliable cognition of gai... more Human gait is the identity of a person's style and quality of life. Reliable cognition of gait properties over time, continuous monitoring, accuracy of evaluation, and proper analysis of human gait characteristics have demonstrated their importance not only in clinical and medical studies, but also in the field of sports, rehabilitation, training, and robotics research. Focusing on walking gait, this study presents an overview on gait mechanisms, common technologies used in gait analysis, and importance of this particular field of research. Firstly, available technologies that involved in gait analysis are briefly introduced in this paper by concentrating on the usability and limitations of the systems. Secondly, key gait parameters and motion characteristics are elucidated from four angles of views; one: gait phases and gait properties; two: center of mass and center of pressure (CoM-CoP) tracking profile; three: Ground Reaction Force (GRF) and impact, and four: muscle activation. Thirdly, the study focuses on the clinical observations of gait patterns in diagnosing gait abnormalities of impaired patients. The presentation also shows the importance of gait analysis in sports to improve performance as well as to avoid risk of injuries of sports personnel. Significance of gait analysis in robotic research is also illustrated in this part where the study focuses on robot assisted systems and its possible applicability in clinical rehabilitation and sports training.
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Pattern Recognition, May 1, 2016
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Advances in Applied Science Research, 2011
Bookmarks Related papers MentionsView impact
Indonesian Journal of Electrical Engineering and Informatics, Jan 31, 2023
Bookmarks Related papers MentionsView impact
The use of local facial features is frequently adopted in many Nearest Neighbours (NN) approaches... more The use of local facial features is frequently adopted in many Nearest Neighbours (NN) approaches in face classification. These collections features are then individually classified against labelled features resembling an ensembles of simpler learners to improve prediction. In this paper, a new variant of ensembles of NN is proposed for classification of local features, namely ensembles of Large Margin Nearest Neighbour (soft-LMNN) classifier. Likewise, we proposea way to arrange local feature called Grouped Lateral Patch (GLP) to overcome the limitations of Single Lateral Patch (SLP). Since the performance of any NN method varies depending on the type of distance metrics used, we investigate the performance of ensembles of NN classifiers when Euclidean, Cosine, Manhattan, Chebychev and Minkowski distance metrics are used. From various experiments conducted, we found that soft-LMNN variant delivers best classification performance when compared against other NN variants, while Cosine and Manhattan distance metric performs best when used with locally normalized Gabor feature vectors and pixel intensity respectively. Our results also demonstrate that in general, ensembles of NN performs face classification nearly 14% more accurate than Support Vector Machine.
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Many research works have proven the superiority of Gabor Wavelets as a feature descriptor for fac... more Many research works have proven the superiority of Gabor Wavelets as a feature descriptor for face classification as compared to other methods. However, most implementations used some commonly used values for Gabor parameters and we proposed that the performance of Gabor-based face recognition can be improved by proper optimization of Gabor parameters. Here in this paper we used Ant Colony Optimization to find the most optimal value for several Gabor parameters - the step frequency, maximum frequency and σ - that produced maximum classification accuracy. Additionally, due to high complexity of Gabor wavelets computation, we examine as well the feasibility of Gabor wavelets to be used in a real-time face recognition system. Using AR face dataset, we tested two classifiers namely Nearest Neighbor and ensembles of NN to determine which classifier would best suit a real-time implementation and delivers best performance. As a result we found that proper optimization would yield as high as 18% increase in face classification accuracy and it is actually feasible to use Gabor wavelets in a real-time system. We recommend using holistic implementation and NN method as classifier in order to achieve real-time performance for a Gabor-based face recognition system.
Bookmarks Related papers MentionsView impact
As a high redundancy system with high flexibility, disaster rescue robot is a demand for search a... more As a high redundancy system with high flexibility, disaster rescue robot is a demand for search and rescue inside collapsed buildings. A smart material actuated autonomous flexible snake robot is developed in this paper that is able to perform 3D (degree) motion. Real snake flexibility can be realized from 3D motion of the proposed flexible snake robot. The modelling of n-link snake robot is discussed first and then verified experimentally. Online gait generation is done using Central pattern generator (CPG) control system for autonomous navigation of the snake robot. The illustration of the robot modelling has been performed both theoretically and experimentally. The CPG-based online gait generation method allows continuous motion.
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
IIUM Press eBooks, 2011
Bookmarks Related papers MentionsView impact
IIUM Press eBooks, 2011
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Continuous monitoring, accuracy of evaluation, and proper analysis of human gait characteristics ... more Continuous monitoring, accuracy of evaluation, and proper analysis of human gait characteristics have presented the importance not only in clinical studies, but also in the field of sports, rehabilitation, training, and robotics research. Human knee joint plays an important role in balancing and stabilizing human body while walking. So it is obvious to observe knee joint movement characteristics as a part of gait analysis. In this paper, instrumentation for capturing knee joint movement pattern is presented. The instrumentation is designed based on Electro-goniometric mechanism with flexible joints on arms that attached with upper and lower extremity of lower limbs. The electrical signals obtained from the instrumentation are calibrated carefully to present the movement angles in degree. The instrumentation system is viable to represent knee movement pattern of human walking which is compared with the result of image based analysis.
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... 2008;18(11):865-867. 3. MinistryofHealth.Healthfacts.http://www.moh.gov.my/MohPortal/ health_... more ... 2008;18(11):865-867. 3. MinistryofHealth.Healthfacts.http://www.moh.gov.my/MohPortal/ health_fact.jsp. Accessed 18 April 2009, 2009. 4. Goh A, Din RM, Aryani F, Othman NH, Zakaria NA. Expenditure on medicines in Malaysia. In: Rahman SSA, Sivanandam S, eds. ...
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International Journal of Automation and Computing, Jan 18, 2017
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