Evaluation of an outdoor education program is generally based on questionnaires or evaluator observations, which require considerable manpower and time. Therefore, assuming that the gaze information of learners such as an object of attention and fixation time can be used for educational evaluation, we propose the method that detects the learners' head orientation during a learning activity to use the parameter which input gaze estimation system using detected head orientation. This can be achieved by sequentially calculating the position and posture of a small camera mounted on each learner’s head using a Structure from Motion (SfM) system. Besides, to match the features of key points extracted from stationary objects, this method also requires background images. The experimental results are obtained from a video recording of the actual field, a part of which is used to extract 16 input images. Furthermore, 781 input background images of the stationary objects in the educational field were captured after the learning activity was completed. We observed that among the 16 head-mounted camera images extracted every second, nine showed errors in a range of less than 7.13 degrees.
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