Papers by Shun Katada

1 papers
Collecting Human-Agent Dialogue Dataset with Frontal Brain Signal toward Capturing Unexpressed Sentiment (2024.lrec-main)

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Challenge: Multimodal information such as text and audiovisual data has been used for emotion/sentiment estimation during human-agent dialogues.
Approach: They present a method for dealing with eye-blink noise for frontal EEGs denoising.
Outcome: The proposed method improves sentiment estimation performance when used with other modalities by multimodal fusion, although it only has three channels.

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