Metadata extraction and retrieval methods for taste-impressions with bio-sensing technology

Hanako Kariya, Yasushi Kiyoki

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

In this paper, we present a new generation food information retrieval by Taste-impression equipped with bio-sensing technology. The aim of our method is to realize the computing environment for one of the un-discussed basic human perception: sense of taste. Our method extracts Taste-impression metadata automatically by using sensor outputs retrieved from a taste sensor, according to 1) user's desirable abstraction levels of terms expressing Taste-impression and 2) characteristic features of foods, such as a type, a nationality, and a theme. We call those characteristics of foods and drinks, 'Taste Scope'. By extracting Taste Scope dependent metadata applying a bio-sensing technology, our method transforms sensor outputs expressing primitive taste elements into meaningful Taste-impression metadata and computes correlations between target foods (or drinks) and a query described in Taste-impression. Users can intuitively search any kinds of information regarding foods and drinks on the basis of abstract Taste-impression preferences with user's desired granularity. We clarify the feasibility and effectiveness of our method by showing several experimental results.

本文言語English
ホスト出版物のタイトルInformation Modelling and Knowledge Bases XIX
出版社IOS Press BV
ページ359-378
ページ数20
ISBN(印刷版)9781586038120
出版ステータスPublished - 2008

出版物シリーズ

名前Frontiers in Artificial Intelligence and Applications
166
ISSN(印刷版)0922-6389
ISSN(電子版)1879-8314

ASJC Scopus subject areas

  • 人工知能

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