Abstract
Recently, more and more hearing person starts learning sign language. For finger motion skill learning such as sign language, it is important for an expert to give objective advice to a learner, because the learner is not able to find any motion errors in his/her sign language. In other words the learner needs the self-education tool of sign language which gives good objective advice. However, there are few studies about such a system. In this paper, we developed a finger motion skill learning support system using data gloves. This system helps a learner to recognize motion errors intuitively by himself/herself by overlaying skilled person's 3D models with learner's 3D models of hands and fingers.
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