書誌事項
- タイトル別名
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- Verification of Subjective Palatability Sensing Using Facial Video
説明
<p>This paper presents a novel method to measure subjective palatability using facial expression via video analysis. We recorded facial expression using 30fps video camera to classify them to each subjective palatability using 512 facial landmarks. Self-Organizing Maps (SOM) is applied to them as classification algorithm. In this paper, we verify the usefulness of this method to use for subjective palatability sensing. This result has a tendency such as symmetrical facial expressions if a subject feels good taste, and unsymmetrical facial expression if a subject feels bad taste. This indicates the potential to measure subjective palatability using this facial expression pattern. From these results, our proposed method is useful for subjective palatability sensing.</p>
収録刊行物
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- ロボティクス・メカトロニクス講演会講演概要集
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ロボティクス・メカトロニクス講演会講演概要集 2020 (0), 1P1-O04-, 2020
一般社団法人 日本機械学会
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詳細情報 詳細情報について
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- CRID
- 1390849376475004160
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- NII論文ID
- 130007943580
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- ISSN
- 24243124
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
- OpenAIRE
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- 抄録ライセンスフラグ
- 使用不可