A novel and robust algorithm to model handwriting skill for haptic applications

Authors:
X. Li;G. Srimathveeravalli;P. Singla;T. Kesavadas
Affiliations:
Dept. of Mechanical and Aerospace Engineering, University at Buffalo;Dept. of Mechanical and Aerospace Engineering, University at Buffalo;Dept. of Mechanical and Aerospace Engineering, University at Buffalo;Dept. of Mechanical and Aerospace Engineering, University at Buffalo
Venue:
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Year:
2009

Citing 5
Cited 0

Teaching to Write Japanese Characters using a Haptic Interface

HAPTICS '02 Proceedings of the 10th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems
Learning-based Cursive Handwriting Synthesis

IWFHR '02 Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR'02)
Telemaque, a New Visuo-Haptic Interface for Remediation of Dysgraphic Children

WHC '05 Proceedings of the First Joint Eurohaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems
Stroke-based modeling and haptic skill display for Chinese calligraphy simulation system

Virtual Reality
Offline Loop Investigation for Handwriting Analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence

Quantified Score

Hi-index	0.01

Visualization

Abstract

Evolutionary multiobjective optimization (EMO) is an active research area in the field of evolutionary computation. EMO algorithms are designed to find a non-dominated solution set that approximates the entire Pareto front of a multiobjective optimization ...