Adnan, Nazrul H. and Wan, Khairunizam and AB, Shahriman and Abu Bakar, Juliana Aida and Aziz, Azri A. (2013) PCA-based finger movement and grasping classification using data glove “Glove MAP”. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 2 (3). pp. 66-71. ISSN 2278-3075

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Abstract

nowadays, fingers movement and hand gestures can be used as main activities in translating by naturally and convenient way to the human computer interaction.The purpose of this paper is to analyze in depth the thumb, index and middle fingers on the hand grasping movement against an object.The classification of the fingers activities is analyzed using the statistical analysis method. Principal Component Analysis (PCA) is one of the methods that able to reduce the dimensional dataset of hand motion as well as measure the capacity of the fingers movement.The fingers movement is estimated from the bending representative of proximal and intermediate phalanges of thumb, index and middle fingers. The effectiveness of the propose assessment analysis were shown through the experiments of three fingers motions.Preliminary results of this experiment showed that the use of the first and second principal components can allow distinguishing between three fingers grasping movements.

Item Type:	Article
Uncontrolled Keywords:	Terms—finger movement; finger activities; hand grasping; Human Computer Interaction; Principle Component Analysis (PCA)
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	College of Arts and Sciences
Depositing User:	Dr. Juliana Aida Abu Bakar
Date Deposited:	19 Aug 2014 06:40
Last Modified:	19 Aug 2014 06:40
URI:	https://repo.uum.edu.my/id/eprint/11851

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