Japanese fingerspelling identification by using MediaPipe

抄録

In order to realize a barrier free society, it is important to realize sign language recognition on smartphones. Several methods have been proposed for fingersplling recognition, which is the basis of sign language recognition. In this paper, we propose a simple still fingerspelling recognition system. The system apply the two dimensional hand point information obtained by MediaPipe. The obtained information is identified by a linear SVM. The proposed system requires only a smaller amount of input data than the previous ones, and the processing is realized by SVM which requires a small amount of computation. Although the proposed system requires only a small amount of computation, it achieves extremely recognition accuracy for still fingerspellings.