The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of COMPUTERS
Transactions ID Number: 20-819
Full Name: Mahmoud Iskandarani
Position: Associate Professor
Age: ON
Sex: Male
Address: Alzaytoonah University of Jordan, Amman
Country: JORDAN
Tel: 776666501
Tel prefix: 00962
Fax: 4291432
E-mail address: m_iskandarani@yahoo.com
Other E-mails:
Title of the Paper: A Novel Approach to Analyzing Natural Child Body Gestures using Dominant Image Level Technique (DIL)
Authors as they appear in the Paper: Mahmoud Z. Iskandarani
Email addresses of all the authors: m_iskandarani@yahoo.com
Number of paper pages: 9
Abstract: A novel approach to child body gesture is presented and discussed. The developed technique allows the monitoring and analysis of a child's behavior based on correlation between head, hand, and body poses. The DIL technique produces several organized maps resulting from image conversion and pixel redistribution, hence lumping individual gestures of the child and results in computable matrices, which is fed to an intelligent analysis system. The obtained results proved the technique to be capable of classifying child presented body pose with ability to model child's body gesture under various conditions.
Keywords: Head Gesture, Hand Gesture, Gesture-control, User interfaces, Image Conversion, Matrix Correlation, Classification.
EXTENSION of the file: .doc
Special (Invited) Session: Novel Approach to Natural Child Head and Hand Gestures using Roll and Slide Maximum Value Algorithm (RSMV)
Organizer of the Session: 659-170
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