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 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 .