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
fDate :
June 30 2014-July 4 2014
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;
Conference_Titel :
Intelligent Environments (IE), 2014 International Conference on
Conference_Location :
Shanghai