Boxplots of the best subject-dependent correlations in the intensity prediction.

Boxplots of the best subject-dependent correlations in the intensity prediction.

<p>Results for both NARX models (left) and sliding-window linear regression (right) for Happiness/Joy (Q1), Disappointment/Regret (Q2), and Worry/Fear (Q3).</p>

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Isabel Barradas (20614853) (author)
مؤلفون آخرون: Reinhard Tschiesner (20614856) (author), Angelika Peer (5194628) (author)
منشور في: 2025
الموضوعات:
Genetics
Science Policy
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
window linear regression
today &# 8217
three distinct qualities
scherer &# 8217
outperform traditional sliding
large temporal contribution
component process model
perceived emotion intensity
estimate emotion intensity
extracted physiological features
cpm ), represent
cpm &# 8217
capture emotion dynamics
emotion recognition research
physiological dynamics
emotion processes
physiological signals
varying intensities
using data
train intrasubject
subjective feeling
robust basis
real time
participants assess
genetic algorithm
emotional processes
elegant framework
dynamic nature
categorised dimensions
bringing insights
appraisal theory
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