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.
Environmental education is educational activities using nature. Since the importance of environmental education is increasing, development of effective leaders training methods and learning programs is required. We consider that by using learner’s interests during educational activities for learning evaluation, we can improve the teaching methods of instructors and learning programs. In this research, we use gaze directions to measure interests. In outdoor such as environmental education, it is difficult to apply gaze estimation techniques using conventional cameras due to the effects of sunlight and fog. In addition, since the wearable device imposes a physical burden on the learner, it has a problem that natural state data cannot be measured. we attach a compact and lightweight device to a cap or helmet. In this research, we measure head direction and estimate gaze direction from the data. The head direction measurement system uses a transmitter with three ultrasonic speakers and receiver. We can measure horizontal and vertical head direction by received time difference of ultrasound transmitted from three speakers. By using the M-sequence for the transmission wave, the spectral efficiency increases, enabling simultaneous measurement of the head direction by many people. In the experiment, we measured horizontal head direction using two ultrasonic speakers. In the result, it was possible to identify the M-sequence and received time. The error in the head direction was 5 degrees.
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