@article{oai:niigata-u.repo.nii.ac.jp:00002713, author = {尾田, 雅文 and 真田, 希 and 関口, 行雄 and 原, 利昭}, issue = {3}, journal = {ライフサポート, ライフサポート}, month = {Sep}, 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 accessories 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 wavelet 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 e valuated 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 = {80--85}, title = {Direct Linear Transformation法を利用した車椅子移動時の非接触視点位置検出法の検討}, volume = {11}, year = {1999} }