@article{oai:niigata-u.repo.nii.ac.jp:00003807, author = {尾田, 雅文 and 真田, 希 and 関口, 行雄 and 磯村, 恒 and 原, 利昭}, issue = {650}, journal = {日本機械学会論文集. C編, 日本機械学会論文集. C編}, month = {Oct}, note = {The purpose of this study is to detect eye-gazing points during driving a wheelchair through the image sequence analysis of video frames. The performances can be measured without restrictions of specific devices such as any accesories and sensors, which were put on a body. Images obtained with three video cameras allow the algorithm to extract four feature points on a face and irises. Their three-dimensional positions were estimated through direct linear transformation (DLT) technique with magnification of a facial image through multi resolution analysis. The direction of a face was estimated via three-dimensional positions of the former, and it defined the facial coordinate. On the other hand, the eye-gazing point was evaluated through three-dimensional positions of the latter. Consequently, Some preliminary results were presented to illustrate the difference in variations with the eye-gazing point between driving a wheelchair and walking.}, pages = {3406--3412}, title = {2次元多重解像度解析法を利用した非接触視点位置検出法の検討}, volume = {66}, year = {2000} }