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Automatic Detection of Crushing Completion Timing of Food

Chewing and swallowing are important from the viewpoint of health care, and swallowing after sufficient chewing results in the maintenance and improvement of health. Therefore, the authors of this study have been probing the construction of an automatic detection system of chewing and swallowing through eating sounds recorded by a skin-contact microphone, focusing on sound information that can easily be recorded. This study proposes a method that uses the encoder output of the previously postulated automatic chewing and swallowing detection system to automatically identify the timing of the crushing completion of the food. The study results confirm the possibility of automatically detecting with high accuracy the timing of the crushing completion based on the subject’s self-report. The outcomes also validate the method’s potential of estimating the crushing completion timing in a stable manner regardless of the number and speed of chewing motions and the time required for swallowing, and notwithstanding differences in subjects and foods.