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