Please use this identifier to cite or link to this item:
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/35403
Title: | Extracting features of fingertips bending by using self-organizing map |
Authors: | 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 |
Keywords: | Human grasping Grasping features Self-Organizing SOM neural networks |
Issue Date: | 2014 |
Publisher: | American-Eurasian Network for Scientific Information (AENSI) |
Citation: | Australian Journal of Basic and Applied Sciences, vol. 8(4) Special, 2014, pages 219-223 |
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 analysis through simulation with human grasp data captured by a GloveMAP. |
Description: | Link to publisher's homepage at http://www.aensiweb.com/ |
URI: | http://www.ajbasweb.com/old/1-ajbas_Special_2014.html http://dspace.unimap.edu.my:80/dspace/handle/123456789/35403 |
ISSN: | 1991-8178 |
Appears in Collections: | Shahriman Abu Bakar, Assoc. Prof. Ir. Ts. Dr. Wan Khairunizam Wan Ahmad, Assoc. Prof. Ir. Ts. Dr. |
Files in This Item:
File | Description | Size | Format | |
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Extracting features of fingertips bending by using self-organizing map-e.pdf | 643.95 kB | Adobe PDF | View/Open |
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