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

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.