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Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Nazrul H., Adnan | - |
dc.contributor.author | Wan Khairunizam, Wan Ahmad, Dr. | - |
dc.contributor.author | Shahriman, Abu Bakar, Dr. | - |
dc.contributor.author | Juliana Aida, Abu Bakar | - |
dc.date.accessioned | 2014-06-04T07:11:54Z | - |
dc.date.available | 2014-06-04T07:11:54Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | International Journal of Mechanical & Mechatronics Engineering IJMME - IJENS, vol.14 (1), 2014, pages 41-45 | en_US |
dc.identifier.issn | 2077-124X (online) | - |
dc.identifier.issn | 2227-2771 (print) | - |
dc.identifier.uri | http://dspace.unimap.edu.my:80/dspace/handle/123456789/35055 | - |
dc.description | Link to publisher's homepage at http://www.ijens.org/index.htm | en_US |
dc.description.abstract | 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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IJENS Publishers | en_US |
dc.subject | Cluster analysis | en_US |
dc.subject | Data reduction | en_US |
dc.subject | Fingers grasping | en_US |
dc.subject | Grasping features | en_US |
dc.subject | SOM neural networks | en_US |
dc.title | Clustering analysis of human finger grasping based on SOM neural network model | en_US |
dc.type | Article | en_US |
dc.identifier.url | http://www.ijens.org/IJMME%20Vol%2014%20Issue%2001.html | - |
Appears in Collections: | Wan Khairunizam Wan Ahmad, Assoc. Prof. Ir. Ts. Dr. Shahriman Abu Bakar, Assoc. Prof. Ir. Ts. Dr. School of Mechatronic Engineering (Articles) |
Files in This Item:
File | Description | Size | Format | |
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Clustering analysis of human finger grasping based on SOM neural network model.pdf | 919.85 kB | Adobe PDF | View/Open |
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