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

Physiology of Emotion01:20

Physiology of Emotion

2.9K
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...
2.9K
Physiological Theories: James-Lange Theory of Emotion01:16

Physiological Theories: James-Lange Theory of Emotion

1.7K
The James-Lange theory of emotion, proposed by William James and Carl Lange in the late 19th century, asserts that emotions are the result of physiological reactions to external stimuli. Contrary to the traditional view, which suggests that emotions directly arise from the perception of stimuli, this theory proposes that emotions occur as a consequence of the body's responses to such stimuli. According to this framework, an emotional experience is a cognitive interpretation of physiological...
1.7K
Tactile and Chemical Senses01:27

Tactile and Chemical Senses

566
Tactile senses encompass touch, temperature, and pain, each mediated by specific receptors. Touch receptors detect mechanical energy or pressure against the skin. Sensory fibers from these receptors enter the spinal cord and relay information to the brain stem. Here, most fibers cross over to the opposite side of the brain. The touch information then moves to the thalamus, which projects a map of the body's surface onto the somatosensory areas of the parietal lobes in the cerebral cortex.
566
Facial Feedback Hypothesis01:24

Facial Feedback Hypothesis

451
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...
451
Somatosensation01:33

Somatosensation

42.7K
The somatosensory system relays sensory information from the skin, mucous membranes, limbs, and joints. Somatosensation is more familiarly known as the sense of touch. A typical somatosensory pathway includes three types of long neurons: primary, secondary, and tertiary. Primary neurons have cell bodies located near the spinal cord in groups of neurons called dorsal root ganglia. The sensory neurons of ganglia innervate designated areas of skin called dermatomes.
42.7K
Labeling Emotion01:20

Labeling Emotion

512
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...
512

You might also read

Related Articles

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

Sort by
Same author

EMeRALDS: Electronic Medical Record Driven Automated Lung Nodule Detection and Classification in Thoracic CT Images.

Journal of imaging informatics in medicine·2026
Same author

AI-enhanced predictive modeling for treatment duration and personalized treatment planning of cleft lip and palate therapy.

International journal of computer assisted radiology and surgery·2025
Same author

An automated framework for pediatric hip surveillance and severity assessment using radiographs.

International journal of computer assisted radiology and surgery·2024
Same author

Emotion analysis and recognition in 3D space using classifier-dependent feature selection in response to tactile enhanced audio-visual content using EEG.

Computers in biology and medicine·2024
Same author

NISQE: Non-Intrusive Speech Quality Evaluator Based on Natural Statistics of Mean Subtracted Contrast Normalized Coefficients of Spectrogram.

Sensors (Basel, Switzerland)·2023
Same author

Biomolecule Protective and Photocatalytic Potential of Cellulose Supported MoS<sub>2</sub>/GO Nanocomposite.

Bioinorganic chemistry and applications·2023
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Dec 13, 2025

Using Facial Electromyography to Assess Facial Muscle Reactions to Experienced and Observed Affective Touch in Humans
04:27

Using Facial Electromyography to Assess Facial Muscle Reactions to Experienced and Observed Affective Touch in Humans

Published on: March 15, 2019

11.6K

Physiological Sensors Based Emotion Recognition While Experiencing Tactile Enhanced Multimedia.

Aasim Raheel1, Muhammad Majid1, Majdi Alnowami2

  • 1Department of Computer Engineering, University of Engineering and Technology, Taxila 47050, Pakistan.

Sensors (Basel, Switzerland)
|July 26, 2020
PubMed
Summary
This summary is machine-generated.

This study enhanced emotion recognition by using physiological signals from tactile multimedia. Fusing electroencephalography, photoplethysmography, and galvanic skin response data improved accuracy in recognizing four emotions.

Keywords:
classificationemotion recognitionphysiological signal processingtactile enhanced multimediawearable sensors

More Related Videos

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

5.0K
A Community-based Stress Management Program: Using Wearable Devices to Assess Whole Body Physiological Responses in Non-laboratory Settings
10:45

A Community-based Stress Management Program: Using Wearable Devices to Assess Whole Body Physiological Responses in Non-laboratory Settings

Published on: January 22, 2018

7.9K

Related Experiment Videos

Last Updated: Dec 13, 2025

Using Facial Electromyography to Assess Facial Muscle Reactions to Experienced and Observed Affective Touch in Humans
04:27

Using Facial Electromyography to Assess Facial Muscle Reactions to Experienced and Observed Affective Touch in Humans

Published on: March 15, 2019

11.6K
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

5.0K
A Community-based Stress Management Program: Using Wearable Devices to Assess Whole Body Physiological Responses in Non-laboratory Settings
10:45

A Community-based Stress Management Program: Using Wearable Devices to Assess Whole Body Physiological Responses in Non-laboratory Settings

Published on: January 22, 2018

7.9K

Area of Science:

  • Affective computing
  • Human-computer interaction
  • Biomedical engineering

Background:

  • Emotion recognition enhances user understanding and behavior analysis.
  • Physiological sensors (EEG, PPG, GSR) are used for emotion detection.
  • Current methods engage limited human senses.

Purpose of the Study:

  • To recognize human emotions using physiological signals from tactile-enhanced multimedia.
  • To provide users with enhanced real-world sensations during multimedia engagement.
  • To explore the fusion of multiple physiological signals for improved emotion classification.

Main Methods:

  • Selected videos synchronized with fan/heater for tactile effects (cold/hot air).
  • Recorded electroencephalography (EEG), photoplethysmography (PPG), and galvanic skin response (GSR) signals.
  • Applied Savitzky-Golay filter for signal pre-processing, extracted features, and used K-nearest neighbor classifier.

Main Results:

  • Photoplethysmography (PPG) features yielded the highest individual accuracy (78.57%).
  • Fusion of EEG, GSR, and PPG features improved emotion classification accuracy to 79.76%.
  • Tactile-enhanced multimedia significantly impacted physiological responses for emotion recognition.

Conclusions:

  • Physiological signal fusion offers a promising approach for advanced emotion recognition.
  • Tactile-enhanced multimedia can enrich user experience and provide richer affective data.
  • This study advances affective computing by integrating multi-sensory and physiological data.