Detailed Classification of Meal-related Activities from Eating Sound Collected in Free Living Conditions

Archit Jain, Takumi Kondo, Haruka Kamachi, Anna Yokokubo, Guillaume Lopez

2020

Abstract

Increasing the number of chews of each bite episode of a meal can help reduce obesity. Nevertheless, it is difficult for a person to keep track of his mastication rate without the help of an automatic mastication counting device. Such devices do exist, but they are big and non-portable and are not suitable for daily use. In our previous work, we proposed an optimization model for the classification of three meal-related activities, chewing, swallowing, and speaking activities from sound signals collected in free-living conditions with a cheap bone conduction microphone. To extract the number of chews per bite, it is necessary to differentiate the swallowing of food from the swallowing of drink. In this paper, we propose a new model that can not only classify speaking, chewing, and swallowing, but also differentiate whether swallowing is for food or drink, with an average accuracy of 96%.

Download


Paper Citation


in Harvard Style

Jain A., Kondo T., Kamachi H., Yokokubo A. and Lopez G. (2020). Detailed Classification of Meal-related Activities from Eating Sound Collected in Free Living Conditions. In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 5: HEALTHINF; ISBN 978-989-758-398-8, SciTePress, pages 284-291. DOI: 10.5220/0009187502840291


in Bibtex Style

@conference{healthinf20,
author={Archit Jain and Takumi Kondo and Haruka Kamachi and Anna Yokokubo and Guillaume Lopez},
title={Detailed Classification of Meal-related Activities from Eating Sound Collected in Free Living Conditions},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 5: HEALTHINF},
year={2020},
pages={284-291},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009187502840291},
isbn={978-989-758-398-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 5: HEALTHINF
TI - Detailed Classification of Meal-related Activities from Eating Sound Collected in Free Living Conditions
SN - 978-989-758-398-8
AU - Jain A.
AU - Kondo T.
AU - Kamachi H.
AU - Yokokubo A.
AU - Lopez G.
PY - 2020
SP - 284
EP - 291
DO - 10.5220/0009187502840291
PB - SciTePress