Emotion Estimation Using Noncontact Environmental Sensing with Machine and Deep Learning Models

This paper presents a method for estimating arousal and emotional valence levels using non-contact environmental sensing, addressing challenges such as discomfort from long-term device wear and privacy concerns associated with facial image analysis. We employed environmental data to develop machine...

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Bibliographic Details
Main Authors: Tsumugi Isogami, Nobuyoshi Komuro
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/15/2/721
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