Novel approach to natural child head and hand gestures using roll and slide maximum value algorithm (RSMV)

Authors:
Mahmoud Z. Iskandarani
Affiliations:
Faculty of Science and Information Technology, Al-Zaytoonah University of Jordan, Amman, Jordan
Venue:
Proceedings of the 15th WSEAS international conference on Computers
Year:
2011

Citing 5
Cited 0

SOMM: Self organizing Markov map for gesture recognition

Pattern Recognition Letters
Head pose estimation and augmented reality tracking: an integrated system and evaluation for monitoring driver awareness

IEEE Transactions on Intelligent Transportation Systems
Online PCA with adaptive subspace method for real-time hand gesture learning and recognition

WSEAS Transactions on Computers
A head pose and facial actions tracking method based on effecient online appearance models

WSEAS Transactions on Information Science and Applications
3D dynamic modeling of the head-neck complex for fast eye and head orientation movements research

Modelling and Simulation in Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

A novel algorithm for child head and hand movements is designed. The proposed algorithm allows the monitoring and analysis of a child's behavior based on a correlation between facial expressions, hand inclination and angle positions. The algorithm system maps a predefined coordinates for the child and results in a computable geometry which is fed to an intelligent analysis system.