Left and Right Hand Gesture Classification Using Scatter Diagram and Principle Component Analysis
This study investigates and acts as a trial clinical outcome for human motion and hand behaviour analysis in consensus of subject's habit related quality of life. It was developed to analyse and access the quality of human hands motion that can be used in hospitals, clinics and human motion res...
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Online Access: | http://ir.unimas.my/id/eprint/45894/1/P11.%20Left%20and%20Right%20Hand%20Gesture%20Classification%20Using%20Scatter%20Diagram%20and%20Principle%20Component%20Analysis%20%28IEEE%29.pdf http://ir.unimas.my/id/eprint/45894/ https://ieeexplore.ieee.org/document/6498182 |
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my.unimas.ir.458942024-08-30T02:44:10Z http://ir.unimas.my/id/eprint/45894/ Left and Right Hand Gesture Classification Using Scatter Diagram and Principle Component Analysis Chew, Kim Mey Yong, Ching Yee Rubita, Sudirman Nasrul Humaimi, Mahmood QA75 Electronic computers. Computer science This study investigates and acts as a trial clinical outcome for human motion and hand behaviour analysis in consensus of subject's habit related quality of life. It was developed to analyse and access the quality of human hands motion that can be used in hospitals, clinics and human motion researches. It aims to establish how widespread the quality of life effects of human motion. An experiment was set up in a laboratory environment with conjunction of analysing human hand motion and its habit. Sensors are attached on both wrists. The instruments demonstrate adequate internal consistency of findings: 1. it is hard for subject to draw a perfect circle whether using left or right hand and this is supported by descriptive statistical data and scatter diagram. 2. Subject's left hand unable to draw a perfect circle or square. These two drawings are looks alike and it is supported by PCA analysis. A simple and informative representation for statistical data, scatter diagram and PCA plot were developed to demonstrate the results. 2013-04-15 Proceeding PeerReviewed text en http://ir.unimas.my/id/eprint/45894/1/P11.%20Left%20and%20Right%20Hand%20Gesture%20Classification%20Using%20Scatter%20Diagram%20and%20Principle%20Component%20Analysis%20%28IEEE%29.pdf Chew, Kim Mey and Yong, Ching Yee and Rubita, Sudirman and Nasrul Humaimi, Mahmood (2013) Left and Right Hand Gesture Classification Using Scatter Diagram and Principle Component Analysis. In: 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, 17-19 December 2012, Langkawi, Malaysia. https://ieeexplore.ieee.org/document/6498182 |
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QA75 Electronic computers. Computer science Chew, Kim Mey Yong, Ching Yee Rubita, Sudirman Nasrul Humaimi, Mahmood Left and Right Hand Gesture Classification Using Scatter Diagram and Principle Component Analysis |
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This study investigates and acts as a trial clinical outcome for human motion and hand behaviour analysis in consensus of subject's habit related quality of life. It was developed to analyse and access the quality of human hands motion that can be used in hospitals, clinics and human motion researches. It aims to establish how widespread the quality of life effects of human motion. An experiment was set up in a laboratory environment with conjunction of analysing human hand motion and its habit. Sensors are attached on both wrists. The instruments demonstrate adequate internal consistency of findings: 1. it is hard for subject to draw a perfect circle whether using left or right hand and this is supported by descriptive statistical data and scatter diagram. 2. Subject's left hand unable to draw a perfect circle or square. These two drawings are looks alike and it is supported by PCA analysis. A simple and informative representation for statistical data, scatter diagram and PCA plot were developed to demonstrate the results. |
format |
Proceeding |
author |
Chew, Kim Mey Yong, Ching Yee Rubita, Sudirman Nasrul Humaimi, Mahmood |
author_facet |
Chew, Kim Mey Yong, Ching Yee Rubita, Sudirman Nasrul Humaimi, Mahmood |
author_sort |
Chew, Kim Mey |
title |
Left and Right Hand Gesture Classification Using Scatter Diagram and Principle Component Analysis |
title_short |
Left and Right Hand Gesture Classification Using Scatter Diagram and Principle Component Analysis |
title_full |
Left and Right Hand Gesture Classification Using Scatter Diagram and Principle Component Analysis |
title_fullStr |
Left and Right Hand Gesture Classification Using Scatter Diagram and Principle Component Analysis |
title_full_unstemmed |
Left and Right Hand Gesture Classification Using Scatter Diagram and Principle Component Analysis |
title_sort |
left and right hand gesture classification using scatter diagram and principle component analysis |
publishDate |
2013 |
url |
http://ir.unimas.my/id/eprint/45894/1/P11.%20Left%20and%20Right%20Hand%20Gesture%20Classification%20Using%20Scatter%20Diagram%20and%20Principle%20Component%20Analysis%20%28IEEE%29.pdf http://ir.unimas.my/id/eprint/45894/ https://ieeexplore.ieee.org/document/6498182 |
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1808981531528527872 |
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13.19449 |