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Extracting features of fingertips bending by using self-organizing map


H. A., Nazrul and Wan, Khairunizam and A. B., Shahriman and Abu Bakar, Juliana Aida (2014) Extracting features of fingertips bending by using self-organizing map. Australian Journal of Basic and Applied Sciences, 8 (4). pp. 219-223. ISSN 1991-8178

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Abstract

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 analy sis through simulation with human grasp data captured by a GloveMAP.

Item Type: Article
Additional Information: Volume: 8(4)Special 2014
Uncontrolled Keywords: Human Grasping; Grasping Features;Self-Organizing; SOM neural networks
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: School of Multimedia Technology & Communication
Depositing User: Mrs. Juliana Aida Abu Bakar
Date Deposited: 04 Sep 2014 00:44
Last Modified: 15 May 2016 01:05
URI: http://repo.uum.edu.my/id/eprint/12128

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