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Estimation of Number of Chewing Strokes and Swallowing Events by Using LSTM-CTC and Throat Microphone | IEEE Conference Publication | IEEE Xplore

Estimation of Number of Chewing Strokes and Swallowing Events by Using LSTM-CTC and Throat Microphone


Abstract:

A person's eating behavior, such as, chewing and swallowing can represents the health conditions of that person. From that viewpoint, we were trying to develop a system t...Show More

Abstract:

A person's eating behavior, such as, chewing and swallowing can represents the health conditions of that person. From that viewpoint, we were trying to develop a system that can monitor a person's chewing and swallowing, simply as well as in detail by using sound information recorded near the oropharynx. However, its accuracy was not good enough because of lack of well-labeled training data. In this paper, we propose a technique to gather a large amount of weak-labeled data easily, and leverage it to train the Long Short Term Memory-Connectionist Temporal Classification (LSTM-CTC) model for estimating the number of chewing and swallowing.
Date of Conference: 15-18 October 2019
Date Added to IEEE Xplore: 27 February 2020
ISBN Information:
Print on Demand(PoD) ISSN: 2378-8143
Conference Location: Osaka, Japan

References

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