Abstract
Our ability to bite and swallow declines with advancing age, and the risk of aspiration increases. In this study, as premises for the development of an aspiration prevention system, we will detect mastication by chin movement from moving images. At the same time, we will count the number of times that a person masticates simply, and think about validity of this method. In order to detect mastication, we focused on the time variation of the distance between the point at the tip of the nose and the chin. First of all, we start to detect face organ points. From them, the distance between the two points is calculated for each frame. When it exceeds the threshold, it is regarded as the mastication. At this time, we apply a moving average in order to increase the robustness of outliers. As a result of the experiment, the detection frequency of “mastication as usual” were close to the actual frequency. Similarly, it can be said that we could detect “mastication slower than usual” almost exactly. However, violent noises occurred frequently in “mastication faster than usual”. They are thought to be the aftereffects of the blurring of the image caused by the intense movement of subjects in the stage of detecting the face organ points. Besides, unclear chin movement made the detection difficult.
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Harada, R., Hirakawa, R., Kawano, H., Nakatoh, Y. (2022). Mastication Detection Method by Chin Movement Using Image Processing. In: Ahram, T., Taiar, R. (eds) Human Interaction, Emerging Technologies and Future Systems V. IHIET 2021. Lecture Notes in Networks and Systems, vol 319. Springer, Cham. https://doi.org/10.1007/978-3-030-85540-6_135
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DOI: https://doi.org/10.1007/978-3-030-85540-6_135
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