Paper Abstract and Keywords |
Presentation |
2017-12-13 19:35
Characteristics identification of food ingested based on chewing movement path for non-contact mastication evaluation Masataka Kushimiya, Chika Sugimoto (YNU) |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The chewing process, also known as mastication, is extremely important. Various troubles such as deterioration of digestion and diseases of oral cavity are caused by the decrease in the number of chewing. It is important to recognize and evaluate the chewing state in order to maintain and improve chewing function. In this paper, we propose a method to recognize the number of chewing and the characteristics of food ingested by measuring three parameters of chewing movement path during eating, ‘opening distance’, ‘chewing width’, ‘cycle time’, with a non-contact sensor. The hardness and size of foods affecting chewing state was identified by random forest, and the importance of feature quantities was analyzed. As a result of discrimination experiments using agar jelly, the average accuracy of the hardness and size was 91.5% and 97.5%, respectively. The discrimination accuracy of the four jelly having different hardness and size was 74%. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Chewing movement / Random forest / Non-contact / Food properties / / / / |
Reference Info. |
IEICE Tech. Rep. |
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Conference Information |
Committee |
HCGSYMPO |
Conference Date |
2017-12-13 - 2017-12-15 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
THE KANAZAWA THEATRE |
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(See Japanese page) |
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Human communication, etc. |
Paper Information |
Registration To |
HCGSYMPO |
Conference Code |
2017-12-HCGSYMPO |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
Title (in English) |
Characteristics identification of food ingested based on chewing movement path for non-contact mastication evaluation |
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Chewing movement |
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Random forest |
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Non-contact |
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Food properties |
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1st Author's Name |
Masataka Kushimiya |
1st Author's Affiliation |
Graduate School of Engineering Yokohama National University (YNU) |
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Chika Sugimoto |
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Faculty of Engineering Yokohama National University (YNU) |
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Author-1 |
Date Time |
2017-12-13 19:35:00 |
Presentation Time |
25 minutes |
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HCGSYMPO |
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