Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

709
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
709
Labeling Emotion01:20

Labeling Emotion

169
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...
169
Emotional Expression01:26

Emotional Expression

277
Emotional expression encompasses how individuals convey their emotions through verbal communication and non-verbal cues. These non-verbal actions include facial expressions, body language, and physical gestures, such as frowning or smiling. Among these, facial expressions play a crucial role in emotional expression and are understood universally, indicating a biological basis for how humans communicate emotions.
Universal Facial Expressions
Psychologist Paul Ekman identified seven basic...
277
Facial Feedback Hypothesis01:24

Facial Feedback Hypothesis

186
Charles Darwin proposed that facial expressions are an evolutionary adaptation for communication. He argued that these expressions are not influenced by culture but are universal across species. For example, a snarling expression with exposed teeth signals a threat in many animals, including humans. Darwin also suggested that displaying an emotion can intensify the feeling. Smiling, for example, could enhance one's sense of happiness. This idea laid the foundation for understanding the role...
186
Physiology of Emotion01:20

Physiology of Emotion

947
The physiology of emotions is a multifaceted process involving the autonomic nervous system, brain structures, hormones, and neurotransmitters. This intricate interplay dictates how emotions manifest in the body and influence behavior.
Autonomic Nervous System
The autonomic nervous system (ANS) plays a critical role in emotional responses by regulating involuntary physiological functions. It consists of two main components: the sympathetic and parasympathetic systems. The sympathetic system...
947

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Vibrio cholerae senses human enteric α-defensin 5 through a CarSR two-component system to promote bacterial pathogenicity.

Communications biology·2022
Same author

Emergence of an epidemic hypervirulent clone of Enterobacter hormaechei coproducing mcr-9 and carbapenemases.

The Lancet. Microbe·2022
Same author

Potentiation of Vancomycin: Creating Cooperative Membrane Lysis through a "Derivatization-for-Sensitization" Approach.

Journal of the American Chemical Society·2022
Same author

Hydrothermal oxidation degradation of dioxins in fly ash with water-washing and added Ce-Mn catalyst.

Journal of environmental management·2022
Same author

Reduced Utilization Process Leaching Toxicity by Stabilizing Heavy Metals in Fly Ash from MSW Incineration Based on Hydrothermal Oxidation.

Bulletin of environmental contamination and toxicology·2022
Same author

A Redox-Activatable and Targeted Photosensitizing Agent to Deliver Doxorubicin for Combining Chemotherapy and Photodynamic Therapy.

Molecular pharmaceutics·2022
Same journal

An accessible, absorbance-based plate reader assay to assess cumulative exposure of blood plasma & serum to thawed conditions.

Methods (San Diego, Calif.)·2026
Same journal

EC-isHCR: A rapid method for in situ hybridization chain reaction in diverse animal samples.

Methods (San Diego, Calif.)·2026
Same journal

Single-Molecule methods to investigate mechanisms of transcription by RNA polymerase of Mycobacterium tuberculosis.

Methods (San Diego, Calif.)·2026
Same journal

Detection and sequencing of Usutu virus during mosquito surveillance: Use of multiple assays and techniques for identification at low levels.

Methods (San Diego, Calif.)·2026
Same journal

Experimental validation of an AI-driven digital healthcare platform for oral health behavior and plaque assessment among vietnamese children.

Methods (San Diego, Calif.)·2026
Same journal

Zeta potential: An efficient and cost-effective alternative for investigating cell-surface interactions.

Methods (San Diego, Calif.)·2026
See all related articles

Related Experiment Video

Updated: Jul 17, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

3.8K

Dimensional emotion recognition from camera-based PRV features.

Kai Zhou1, Markus Schinle1, Wilhelm Stork2

  • 1FZI Research Center for Information Technology, Germany.

Methods (San Diego, Calif.)
|September 7, 2023
PubMed
Summary
This summary is machine-generated.

Contactless emotion detection using remote photoplethysmography (rPPG) shows promise. Camera-based pulse rate variability (PRV) accurately identifies high-arousal emotions and even outperforms facial analysis for detecting subtle states like sadness.

Keywords:
Affective computingDimensional affect estimationPRVRemote photoplethysmography

More Related Videos

Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury
05:51

Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury

Published on: May 15, 2016

9.1K
Central and Divided Visual Field Presentation of Emotional Images to Measure Hemispheric Differences in Motivated Attention
05:36

Central and Divided Visual Field Presentation of Emotional Images to Measure Hemispheric Differences in Motivated Attention

Published on: November 16, 2017

7.6K

Related Experiment Videos

Last Updated: Jul 17, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

3.8K
Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury
05:51

Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury

Published on: May 15, 2016

9.1K
Central and Divided Visual Field Presentation of Emotional Images to Measure Hemispheric Differences in Motivated Attention
05:36

Central and Divided Visual Field Presentation of Emotional Images to Measure Hemispheric Differences in Motivated Attention

Published on: November 16, 2017

7.6K

Area of Science:

  • Physiology
  • Computer Science
  • Psychology

Background:

  • Heart rate variability (HRV) reflects autonomic nervous system activity and affective states.
  • Remote photoplethysmography (rPPG) enables contactless pulse rate variability (PRV) measurement, correlating with HRV.
  • PRV offers a non-contact method for assessing emotional states.

Purpose of the Study:

  • To investigate the efficacy of machine learning techniques for emotion identification using camera-based PRV features.
  • To evaluate the performance of PRV-based emotion detection compared to traditional methods.

Main Methods:

  • Utilized ten distinct machine learning algorithms.
  • Extracted features from camera-based PRV signals.
  • Classified emotional states based on these features.

Main Results:

  • The optimal classification model achieved correlation coefficients of 0.34 for valence and 0.36 for arousal recognition.
  • rPPG demonstrated high accuracy in detecting high-arousal high-valence (HAHV) emotions.
  • PRV-based emotion detection surpassed facial expression analysis for subtle emotions like sadness.

Conclusions:

  • Camera-based PRV is a viable technology for contactless emotion recognition.
  • This approach shows significant potential for affective computing and mental health monitoring.
  • rPPG offers advantages over facial analysis for specific emotional states.