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Experimental and analysis study on GloveMAP grasping force signal using Gaussian filtering method and principal component analysis (PCA)

This research paper presents the analysis study of human grasping forces for several objects by using a DataGlove called GloveMAP.The grasping force is generated from the bending of proximal and intermediate phalanges of the fingers when touching with a surface.A flexiforce sensor is installed at th...

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Main Authors: Adnan, Nazrul H., Wan, Khairunizam, AB, Shahriman, Hazry, D., M. Razlan, Zuradzman, Abu Bakar, Juliana Aida
Format: Article
Language:English
Published: ICIC International 2014
Subjects:
QA76 Computer software
Online Access:http://repo.uum.edu.my/10664/1/NhA.pdf
http://repo.uum.edu.my/10664/
http://www.ijicic.org/contents.htm
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spelling my.uum.repo.106642020-11-02T00:34:53Z http://repo.uum.edu.my/10664/ Experimental and analysis study on GloveMAP grasping force signal using Gaussian filtering method and principal component analysis (PCA) Adnan, Nazrul H. Wan, Khairunizam AB, Shahriman Hazry, D. M. Razlan, Zuradzman Abu Bakar, Juliana Aida QA76 Computer software This research paper presents the analysis study of human grasping forces for several objects by using a DataGlove called GloveMAP.The grasping force is generated from the bending of proximal and intermediate phalanges of the fingers when touching with a surface.A flexiforce sensor is installed at the finger’s position of the GloveMAP.The acquired grasping force signals are filtered by using a Gaussian filtering for the purpose of removing noises.A Principal Component Analysis technique (PCA) is employed to reduce the dimension of the grasping force signal, and follows by the extraction of its features.In the experiment, five subjects are selected to perform the grasping activities.The experimental results show that the Gaussian filter could be used to smoothen the grasping force signals. Moreover, the first and the second principal components of PCA could be used to extract features of grasping force signals. ICIC International 2014-06 Article PeerReviewed application/pdf en http://repo.uum.edu.my/10664/1/NhA.pdf Adnan, Nazrul H. and Wan, Khairunizam and AB, Shahriman and Hazry, D. and M. Razlan, Zuradzman and Abu Bakar, Juliana Aida (2014) Experimental and analysis study on GloveMAP grasping force signal using Gaussian filtering method and principal component analysis (PCA). International Journal of Innovative Computing Information and Control, 10 (3). pp. 1-12. ISSN 1349-4198 http://www.ijicic.org/contents.htm
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutional Repository
url_provider http://repo.uum.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Adnan, Nazrul H.
Wan, Khairunizam
AB, Shahriman
Hazry, D.
M. Razlan, Zuradzman
Abu Bakar, Juliana Aida
Experimental and analysis study on GloveMAP grasping force signal using Gaussian filtering method and principal component analysis (PCA)
description This research paper presents the analysis study of human grasping forces for several objects by using a DataGlove called GloveMAP.The grasping force is generated from the bending of proximal and intermediate phalanges of the fingers when touching with a surface.A flexiforce sensor is installed at the finger’s position of the GloveMAP.The acquired grasping force signals are filtered by using a Gaussian filtering for the purpose of removing noises.A Principal Component Analysis technique (PCA) is employed to reduce the dimension of the grasping force signal, and follows by the extraction of its features.In the experiment, five subjects are selected to perform the grasping activities.The experimental results show that the Gaussian filter could be used to smoothen the grasping force signals. Moreover, the first and the second principal components of PCA could be used to extract features of grasping force signals.
format Article
author Adnan, Nazrul H.
Wan, Khairunizam
AB, Shahriman
Hazry, D.
M. Razlan, Zuradzman
Abu Bakar, Juliana Aida
author_facet Adnan, Nazrul H.
Wan, Khairunizam
AB, Shahriman
Hazry, D.
M. Razlan, Zuradzman
Abu Bakar, Juliana Aida
author_sort Adnan, Nazrul H.
title Experimental and analysis study on GloveMAP grasping force signal using Gaussian filtering method and principal component analysis (PCA)
title_short Experimental and analysis study on GloveMAP grasping force signal using Gaussian filtering method and principal component analysis (PCA)
title_full Experimental and analysis study on GloveMAP grasping force signal using Gaussian filtering method and principal component analysis (PCA)
title_fullStr Experimental and analysis study on GloveMAP grasping force signal using Gaussian filtering method and principal component analysis (PCA)
title_full_unstemmed Experimental and analysis study on GloveMAP grasping force signal using Gaussian filtering method and principal component analysis (PCA)
title_sort experimental and analysis study on glovemap grasping force signal using gaussian filtering method and principal component analysis (pca)
publisher ICIC International
publishDate 2014
url http://repo.uum.edu.my/10664/1/NhA.pdf
http://repo.uum.edu.my/10664/
http://www.ijicic.org/contents.htm
_version_ 1683233071804973056
score 13.211869

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