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- 志村 誠
- 東京大学
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- 本橋 洋介
- NEC:元東京大学
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- 山田 一郎
- 東京大学
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- ドロネー ジャン=ジャック
- 東京大学
書誌事項
- タイトル別名
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- 5522 Emotion recognition using biological information for use in assessment of communication terminals
抄録
Although emotion analysis is becoming increasingly important in the assessment of newly developed communication terminals, there exists no established method to predict emotions. In this report, we examined the classification of emotions using a combination of electrocardiogram (ECG) data and respiration data. ECG data together with respiratory data were collected on subjects watching a movie, and subjects' changes in emotional states were monitored by questionnaires. Training and validation datasets on five emotional states (fear, joy, disgust, anticipation and neutral state) and ten subjects were prepared using standard data division. The Mahalanobis distance model was used to predict the five emotions. Percentage of correct classification was 37% when the complete dataset (all subjects) was used as a training dataset and increased to 64% when individual training datasets were used. Though the combination of ECG and respiration data proved useful in improving the classification of emotions, the major improvement in classification score was achieved by using individual datasets.
収録刊行物
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- 年次大会講演論文集
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年次大会講演論文集 2006.5 (0), 577-578, 2006
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
- 1390001206062218880
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- NII論文ID
- 110006635688
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- ISSN
- 24331325
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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
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- 抄録ライセンスフラグ
- 使用不可