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Emotional labeling is a cognitive process that involves identifying and naming one's emotions, such as anger, fear, happiness, or sadness. It allows individuals to recognize and express their internal emotional states, a critical aspect of emotional regulation and communication. Labeling emotions requires more than mere recognition; it also involves drawing upon memory and contextual cues to understand the current situation and apply a corresponding emotional label. For instance, feeling...
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Emotion-focused coping refers to a set of strategies aimed at managing the emotional impact of stressors, rather than directly addressing their causes. This approach involves altering one's emotional response to stressful situations to reduce their psychological effects. For example, individuals might talk with a friend or engage in activities like journaling to express their feelings. Such actions can help achieve emotional clarity or release, providing the psychological stability needed...
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Related Experiment Video

Updated: Jan 9, 2026

Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury
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HRV-Based Recognition of Complex Emotions: Feature Identification and Emotion-Specific Indicator Selection.

Da-Yeon Kang1, Chan-Il Kim2, Jong-Ha Lee1

  • 1Department of Biomedical Engineering, School of Engineering, Keimyung University, Daegu 42601, Republic of Korea.

Healthcare (Basel, Switzerland)
|December 11, 2025
PubMed
Summary

Heart rate variability (HRV) can differentiate complex emotions like positive and negative surprise and sadness. A contactless system (DHVS) shows potential for recognizing these emotions via HRV, comparable to chest-strap devices.

Keywords:
HCIHRVaffective computingcomplex emotionemotion recognitionhealthcaremental healthrPPGvision-based intelligence

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Area of Science:

  • Psychophysiology
  • Affective Computing
  • Biomedical Engineering

Background:

  • Current emotion recognition systems often use discrete states and contact-based sensors.
  • Complex emotions are mixtures of basic emotions, influenced by valence direction.
  • Heart rate variability (HRV) is a potential physiological marker for emotional states.

Purpose of the Study:

  • To differentiate four compound emotions (Positive Surprise, Negative Surprise, Positive Sadness, Negative Sadness) using HRV.
  • To evaluate a contactless camera-based system (Deep Health Vision System, DHVS) against a reference device (Polar H10).
  • To explore the relationship between HRV, subjective emotion reports (Valence, Arousal, Dominance), and emotion composition.

Main Methods:

  • Ten healthy adults viewed emotion-inducing video clips.
  • HRV was recorded using both a Polar H10 chest strap and the DHVS webcam system.
  • Standard HRV indices were computed, and statistical analyses examined changes, correlations, and device concordance.

Main Results:

  • Subjective reports confirmed distinct affective profiles for the four compound emotions.
  • HRV changes correlated with Valence, Arousal, and Dominance, with specific indices sensitive to emotion category (LF/HF) and valence (Total Power).
  • The DHVS system showed partial concordance with the Polar H10, particularly under positive valence conditions.

Conclusions:

  • HRV captures distinct autonomic signatures of complex emotions, linked to subjective evaluations.
  • LF/HF and Total Power provide complementary insights into emotion category and valence.
  • The DHVS demonstrates preliminary feasibility as a contactless platform for complex emotion recognition, requiring further validation.