紀要論文 Conbolutuonal Neural Networkを用いた手話判別に関する研究

竹内, 泰人

内容記述
Sign Language are an important comminucation method for learning impaired people. To Communicate to learning impared people, mprmal people also have to learn the gesure of meanings. In order to achieve smooth communication between learning impaired people. automatic sighn recognition system is required. In this paper, we applied. The combination of simple 2D camera convoluitional neural network(CNN) Classification method is applied. The combination of simple 2D camera with CNN enable real-time recognition is achieved by using GPU based mixraocomtroller board Through preliminary experiments, we can classify three different types of gestures with accuracy of 70%.
本文を読む

https://hosei.repo.nii.ac.jp/?action=repository_action_common_download&item_id=14352&item_no=1&attribute_id=22&file_no=1

このアイテムのアクセス数:  回

その他の情報