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Extracting features of fingertips bending by using self-organizing map

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Main Authors: Nazrul Hamizi, Adnan, Wan Khairunizam, Wan Ahmad, Dr., Shahriman, Abu Bakar, Dr., Juliana Aida, Abu Bakar
Other Authors: nazrulhamizi.adnan@gmail.com
Format: Article
Language:English
Published: American-Eurasian Network for Scientific Information (AENSI) 2014
Subjects:
Human grasping
Grasping features
Self-Organizing
SOM neural networks
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/35403
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spelling my.unimap-354032014-06-11T19:03:07Z Extracting features of fingertips bending by using self-organizing map Nazrul Hamizi, Adnan Wan Khairunizam, Wan Ahmad, Dr. Shahriman, Abu Bakar, Dr. Juliana Aida, Abu Bakar nazrulhamizi.adnan@gmail.com khairunizam@unimap.edu.my shahriman@unimap.edu.my liana@uum.edu.my Human grasping Grasping features Self-Organizing SOM neural networks Link to publisher's homepage at http://www.aensiweb.com/ In this paper the method of Self-Organizing Maps (SOM) is introduced to analyze the human grasping activities of human fingertips bending using the low cost DataGlove called as GloveMAP. The research shows that the proposed approaches capable to utilize the effectiveness of the SOM for creating the grasping features of the bottle object. After the iterative learning of net-trained, all data of the trained network will be simulated and finally self-organized. The final result of the research study shows the fingertips features extraction were generated from the several grasping activities and verify the validity of the analysis through simulation with human grasp data captured by a GloveMAP. 2014-06-11T19:03:07Z 2014-06-11T19:03:07Z 2014 Article Australian Journal of Basic and Applied Sciences, vol. 8(4) Special, 2014, pages 219-223 1991-8178 http://www.ajbasweb.com/old/1-ajbas_Special_2014.html http://dspace.unimap.edu.my:80/dspace/handle/123456789/35403 en American-Eurasian Network for Scientific Information (AENSI)
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 Human grasping
Grasping features
Self-Organizing
SOM neural networks
spellingShingle Human grasping
Grasping features
Self-Organizing
SOM neural networks
Nazrul Hamizi, Adnan
Wan Khairunizam, Wan Ahmad, Dr.
Shahriman, Abu Bakar, Dr.
Juliana Aida, Abu Bakar
Extracting features of fingertips bending by using self-organizing map
description Link to publisher's homepage at http://www.aensiweb.com/
author2 nazrulhamizi.adnan@gmail.com
author_facet nazrulhamizi.adnan@gmail.com
Nazrul Hamizi, Adnan
Wan Khairunizam, Wan Ahmad, Dr.
Shahriman, Abu Bakar, Dr.
Juliana Aida, Abu Bakar
format Article
author Nazrul Hamizi, Adnan
Wan Khairunizam, Wan Ahmad, Dr.
Shahriman, Abu Bakar, Dr.
Juliana Aida, Abu Bakar
author_sort Nazrul Hamizi, Adnan
title Extracting features of fingertips bending by using self-organizing map
title_short Extracting features of fingertips bending by using self-organizing map
title_full Extracting features of fingertips bending by using self-organizing map
title_fullStr Extracting features of fingertips bending by using self-organizing map
title_full_unstemmed Extracting features of fingertips bending by using self-organizing map
title_sort extracting features of fingertips bending by using self-organizing map
publisher American-Eurasian Network for Scientific Information (AENSI)
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/35403
_version_ 1643797785008406528
score 13.18916

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