DocumentCode :
256183
Title :
Hand gesture detection and recognition in cyber presence interactive system for E-learning
Author :
Bousaaid, Mourad ; Ayaou, Tarik ; Afdel, Karim ; Estraillier, Pascal
Author_Institution :
Dept. of Comput. Sci., Ibn Zohr Univ., Agadir, Morocco
fYear :
2014
fDate :
14-16 April 2014
Firstpage :
444
Lastpage :
447
Abstract :
The advent of information and communication technologies (ICT) in the domain of education represents a real opportunity for spreading knowledge. Many results have already been obtained, which aimed mainly to facilitate the arrangement of pedagogical contents by large and massive deployment of digital environments of work. The development of technologies of multimedia, linked to that of Internet and democratization of high output, has made henceforth E-learning possible for learners being in virtual classes and geographically distributed. The quality and quantity of asynchronous and synchronous communications are the key elements for E-learning success. It is important to have a propitious supervision to reduce the feeling of isolation in E-learning. This feeling of isolation is among the main causes of loss and high rates of stalling in E-learning. To overcome this feeling of isolation experienced by learners, we hope to put at the trainer and learners´ disposal an environment to make them behave as being in real class. One of the preferable means is by using USB cameras to analyse in real time the movements linked to behaviours of trainer and learners. It is also allowed for the trainer to have a “return” quality concerning learners´ reactions like those he is used to in real class, notably taking into account learner´s attention and his level of participation. The researches to be conducted in this domain aim to bring solutions of convergence coming from real time image for the capture and recognition of hand gestures. These gestures will be analysed by the system and transformed as indicator of participation. This latter is displayed in the table of performance of the tutor as a curve according to the time. The indicator is defined as the frequency of raising hand of learner to participate during a learning session. In case of isolation of learner, the indicator of participation will become red and the tutor will be informed of learners with d- fficulties to participate during learning session.
Keywords :
computer aided instruction; gesture recognition; human computer interaction; interactive systems; object detection; E-Iearning; USB cameras; cyber presence interactive system; hand gesture detection; hand gesture recognition; learner isolation; learner participation indicator; real time image; tutor performance; Educational institutions; Image recognition; Image segmentation; Integrated circuits; Shape; Three-dimensional displays; hand detection; hand recognition; segmentation; skin color;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Computing and Systems (ICMCS), 2014 International Conference on
Conference_Location :
Marrakech
Print_ISBN :
978-1-4799-3823-0
Type :
conf
DOI :
10.1109/ICMCS.2014.6911197
Filename :
6911197
Link To Document :
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