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Clustering analysis of human finger grasping based on SOM neural network model

SOM (Self-organizing Maps) model was introduced to cluster and analyse on the human grasping activities of GloveMAP based on data reduction of the initial grasping data.By acquiring the data reduction of the initial hand grasping data of the several objects, it will be going to be functioned as the...

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Main Authors: Adnan, Nazrul H., Wan, Khairunizam, AB, Shahriman, Abu Bakar, Juliana Aida
Format: Article
Language:English
Published: IJENS Publishers 2014
Subjects:
QA76 Computer software
Online Access:http://repo.uum.edu.my/10665/1/1.pdf
http://repo.uum.edu.my/10665/
http://www.ijens.org/IJMME%20Vol%2014%20Issue%2001.html
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spelling my.uum.repo.106652016-04-27T04:32:49Z http://repo.uum.edu.my/10665/ Clustering analysis of human finger grasping based on SOM neural network model Adnan, Nazrul H. Wan, Khairunizam AB, Shahriman Abu Bakar, Juliana Aida QA76 Computer software SOM (Self-organizing Maps) model was introduced to cluster and analyse on the human grasping activities of GloveMAP based on data reduction of the initial grasping data.By acquiring the data reduction of the initial hand grasping data of the several objects, it will be going to be functioned as the inputs to the SOM model.After the iterative learning of net-trained, all data of the trained network will be simulated and finally self-organized.The output results of models’ are farthest approached to the reality in 3-dimensional grasping features.The experimental result of the simulation signal will generate the simulate result of the grasping features from the selected object.The whole experiment of grasping features is derived into three features/groups and the results are satisfactory. IJENS Publishers 2014-02 Article PeerReviewed application/pdf en http://repo.uum.edu.my/10665/1/1.pdf Adnan, Nazrul H. and Wan, Khairunizam and AB, Shahriman and Abu Bakar, Juliana Aida (2014) Clustering analysis of human finger grasping based on SOM neural network model. International Journal of Mechanical & Mechatronics Engineering IJMME - IJENS, 14 (1). pp. 1-5. ISSN 2077-124X http://www.ijens.org/IJMME%20Vol%2014%20Issue%2001.html
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali 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
Abu Bakar, Juliana Aida
Clustering analysis of human finger grasping based on SOM neural network model
description SOM (Self-organizing Maps) model was introduced to cluster and analyse on the human grasping activities of GloveMAP based on data reduction of the initial grasping data.By acquiring the data reduction of the initial hand grasping data of the several objects, it will be going to be functioned as the inputs to the SOM model.After the iterative learning of net-trained, all data of the trained network will be simulated and finally self-organized.The output results of models’ are farthest approached to the reality in 3-dimensional grasping features.The experimental result of the simulation signal will generate the simulate result of the grasping features from the selected object.The whole experiment of grasping features is derived into three features/groups and the results are satisfactory.
format Article
author Adnan, Nazrul H.
Wan, Khairunizam
AB, Shahriman
Abu Bakar, Juliana Aida
author_facet Adnan, Nazrul H.
Wan, Khairunizam
AB, Shahriman
Abu Bakar, Juliana Aida
author_sort Adnan, Nazrul H.
title Clustering analysis of human finger grasping based on SOM neural network model
title_short Clustering analysis of human finger grasping based on SOM neural network model
title_full Clustering analysis of human finger grasping based on SOM neural network model
title_fullStr Clustering analysis of human finger grasping based on SOM neural network model
title_full_unstemmed Clustering analysis of human finger grasping based on SOM neural network model
title_sort clustering analysis of human finger grasping based on som neural network model
publisher IJENS Publishers
publishDate 2014
url http://repo.uum.edu.my/10665/1/1.pdf
http://repo.uum.edu.my/10665/
http://www.ijens.org/IJMME%20Vol%2014%20Issue%2001.html
_version_ 1644280426689200128
score 13.211869

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