Zamalik, Sarah N. and Abu Bakar, Juliana Aida and Yaakub, Abdul Razak (2016) Review of gesture recognition for virtual automotive training applications. International Journal of Interactive Digital Media (IJIDM), 4 (1). ISSN 2289-4098

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Abstract

In a virtual system, gesture is considered as a natural way for communication between human and computers.Gesture recognition is the process of recognizing and interpreting a stream of continuous sequential gesture from a given set of input data.The main goal of gesture recognition is to create a system which can recognize specific human gestures and use them to convey information or to control a device and/or application.The objective of this paper is to review gesture-based recognition methods and its applications as an approach to improve user interaction particularly for virtual automotive training.Review of applications and techniques of gesture recognition system will be provided with emphasis on hand gesture expressions.The major techniques include HMMs, ANN, and fuzzy clustering will be reviewed and analyzed.

Item Type:	Article
Uncontrolled Keywords:	Gesture Recognition, Artificial Neural Networks, Fuzzy Clustering Algorithm, Hidden Markov Model, Histogram Based Feature, Virtual Automotive Training
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	School of Multimedia Technology & Communication
Depositing User:	Dr. Juliana Aida Abu Bakar
Date Deposited:	04 Apr 2017 03:24
Last Modified:	04 Apr 2017 03:24
URI:	https://repo.uum.edu.my/id/eprint/21382

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