User identification on horse riding simulator

IT technologies have started to be applied to many fields such as sports science, robotics or BT. Especially, object detection and recognition using vision sensor has intensively studied due to diverse application fields. But, various illumination condition, pose or time progress have put object detection and recognition to challenge task in the real world. In this paper, face detection and recognition using vision sensor applied to sports simulator which has been proposed. Face detection has been processed to identify straight in the face that has used to detect head pose of riders. Face recognition has used to identify user, who has tried to take horse riding simulator. Gabor wavelet and face graph has used to recognize low quality face image, which has acquired under poor illumination environment and movement of simulator. We have simulated on FERET and ETRI database. ETRI database has acquired on horse riding simulator under poor illumination condition. The accuracy of 91% face recognition rate on FERET and encouraging result of 82% recognition rate on ETRI DB have been obtained.