DocumentCode
254918
Title
A Multimodal Learning System for Handwriting Movements
Author
Brondi, Raffaello ; Satler, Massimo ; Avizzano, Carlo Alberto ; Tripicchio, Paolo
Author_Institution
PERCeptual Robot. Lab. TeCIP Inst., Scuola Superiore Sant´Anna, Pisa, Italy
fYear
2014
fDate
June 30 2014-July 4 2014
Firstpage
256
Lastpage
259
Abstract
Learning to hand-write is a complex task and is fundamental for the development of a correct language reasoning and understanding. This work presents a multimodal system that focuses on the learning of handwriting movements. The system is thought for children usage providing engaging graphics and novel feedback technologies to accelerate the learning process. The main characteristic of the system architecture is its scalability in hardware and software components so that it is possible to employ it in any domestic setup.
Keywords
computer aided instruction; computer graphics; feedback; human computer interaction; children usage; feedback technologies; graphics technologies; handwriting movement learning; hardware component scalability; learning process acceleration; multimodal learning system; software component scalability; system architecture; Force; Haptic interfaces; Hardware; Software; Trajectory; Visualization; Writing; Haptic; Learning; Multimodal;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Environments (IE), 2014 International Conference on
Conference_Location
Shanghai
Type
conf
DOI
10.1109/IE.2014.48
Filename
6910459
Link To Document