DocumentCode :
2964521
Title :
Embodied Conversational Human-Machine Interface with Wearable Body Sensors for Improving Geography Teaching
Author :
Ling, Y. ; Bellotti, Fernando ; Berta, R. ; De Gloria, A.
Author_Institution :
Dynatech - Dept. of Naval, Electr. & Inf. Technol. Eng., Univ. of Genoa, Genoa, Italy
fYear :
2012
fDate :
4-6 July 2012
Firstpage :
686
Lastpage :
687
Abstract :
This paper introduces a suit of advanced human-machine interface (HMI) with gesture interaction. Related hardware component of the system and used signal processing methods are illustrated. The design of embodied conversational geography teaching system which applies this HMI system to game-based learning is described. Finally, the advantages and meanings of the usage of this geography teaching system with gesture interaction are analyzed and presented.
Keywords :
brain-computer interfaces; computer aided instruction; computer games; geography; gesture recognition; signal processing; teaching; wearable computers; advanced HMI system; advanced human-machine interface; embodied conversational geography teaching system; embodied conversational human-machine interface; game-based learning; gesture interaction; hardware component; signal processing methods; wearable body sensors; Earth; Education; Geography; Humans; Navigation; Sensor systems; HIMI; embodied interaction; geography teaching; sensor technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Learning Technologies (ICALT), 2012 IEEE 12th International Conference on
Conference_Location :
Rome
Print_ISBN :
978-1-4673-1642-2
Type :
conf
DOI :
10.1109/ICALT.2012.100
Filename :
6268218
Link To Document :
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