By Topic

Development of Web-Based Japanese Mimicry and Onomatopoeia Learning Assistant System with Sensor Network

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Bin Hou ; Dept. of Inf. Sci. & Intell. Syst., Univ. of Tokushima, Tokushima, Japan ; Ogata, H. ; Miyata, M. ; Mengmeng Li
more authors

In this paper, we propose a web-based Japanese mimicry and onomatopoeia learning assistant system (JAMIOLAS). In our previous studies, we have proposed context-aware language learning assistant systems that used wearable sensor and sensor network respectively, and attended good results. In order to use this learning model in broader area and more general scene, we are trying to realize the system on website, and using on-line information as sensor data from global sensor network. Besides, in order to support more words, we are also using on-line multimedia such as video or picture to create the context for learning.

Published in:

Wireless, Mobile and Ubiquitous Technologies in Education (WMUTE), 2010 6th IEEE International Conference on

Date of Conference:

12-16 April 2010