Cover Image

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

Link to publisher's homepage at http://www.ijicic.org/home.htm

Saved in:
Bibliographic Details
Main Authors: Nazrul Hamizi, Adnan, Wan Khairunizam, Wan Ahmad, Dr., Shahriman, Abu Bakar, Dr., Hazry, Desa, Assoc. Prof. Dr., Zuradzman, Mohamad Razlan, Dr., Juliana Aida, Abu Bakar
Other Authors: nazrulhamizi.adnan@gmail.com
Format: Article
Language:English
Published: ICIC International 2014
Subjects:
Eigenfingers
Gaussian filter
Grasping force
Principal component
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/35340
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimap-35340
record_format dspace
spelling my.unimap-353402017-11-29T05:02:49Z Experimental and analysis study on glovemap grasping force signal using Gaussian filtering method and principal component analysis (PCA) Nazrul Hamizi, Adnan Wan Khairunizam, Wan Ahmad, Dr. Shahriman, Abu Bakar, Dr. Hazry, Desa, Assoc. Prof. Dr. Zuradzman, Mohamad Razlan, Dr. Juliana Aida, Abu Bakar nazrulhamizi.adnan@gmail.com khairunizam@unimap.edu.my shahriman@unimap.edu.my hazry@unimap.edu.my zuradzman@unimap.edu.my Eigenfingers Gaussian filter Grasping force Principal component Link to publisher's homepage at http://www.ijicic.org/home.htm 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. 2014-06-11T03:16:09Z 2014-06-11T03:16:09Z 2014-06 Article International Journal of Innovative Computing, Information and Control, vol. 10(3), 2014, pages 897-908 1349-4198 http://www.ijicic.org/contents.htm http://dspace.unimap.edu.my:80/dspace/handle/123456789/35340 en ICIC International
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Eigenfingers
Gaussian filter
Grasping force
Principal component
spellingShingle Eigenfingers
Gaussian filter
Grasping force
Principal component
Nazrul Hamizi, Adnan
Wan Khairunizam, Wan Ahmad, Dr.
Shahriman, Abu Bakar, Dr.
Hazry, Desa, Assoc. Prof. Dr.
Zuradzman, Mohamad Razlan, Dr.
Juliana Aida, Abu Bakar
Experimental and analysis study on glovemap grasping force signal using Gaussian filtering method and principal component analysis (PCA)
description Link to publisher's homepage at http://www.ijicic.org/home.htm
author2 nazrulhamizi.adnan@gmail.com
author_facet nazrulhamizi.adnan@gmail.com
Nazrul Hamizi, Adnan
Wan Khairunizam, Wan Ahmad, Dr.
Shahriman, Abu Bakar, Dr.
Hazry, Desa, Assoc. Prof. Dr.
Zuradzman, Mohamad Razlan, Dr.
Juliana Aida, Abu Bakar
format Article
author Nazrul Hamizi, Adnan
Wan Khairunizam, Wan Ahmad, Dr.
Shahriman, Abu Bakar, Dr.
Hazry, Desa, Assoc. Prof. Dr.
Zuradzman, Mohamad Razlan, Dr.
Juliana Aida, Abu Bakar
author_sort Nazrul Hamizi, Adnan
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://dspace.unimap.edu.my:80/dspace/handle/123456789/35340
_version_ 1643802758584729600
score 13.214268

Similar Items