2024-03-28T09:15:03Z
https://niigata-u.repo.nii.ac.jp/oai
oai:niigata-u.repo.nii.ac.jp:00003807
2022-12-15T03:36:51Z
423:424:425
453:454
Non-Contact Eye-Gazing Point Detection Technique via Two Dimensional Multi Resolution Analysis
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
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
尾田, 雅文
45505
真田, 希
45506
関口, 行雄
45507
磯村, 恒
45508
原, 利昭
45509
Image Processing
Biomechanics
Human Engineering
Human Interface
Physically Handicapped People
Multi Resolution Analysis
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.
journal article
日本機械学会
2000-10
application/pdf
日本機械学会論文集. C編
650
66
3406
3412
日本機械学会論文集. C編
AN00187463
03875024
https://niigata-u.repo.nii.ac.jp/record/3807/files/9_0221.pdf
jpn
http://ci.nii.ac.jp/naid/110002383397
日本機械学会
本文データは学会の許諾に基づくCiNiiからの複製である