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

2.0K
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.
2.0K
Subliminal Perception01:15

Subliminal Perception

794
Subliminal perception refers to the processing of sensory information that occurs below the level of conscious awareness. Researchers study subliminal perception by presenting a stimulus, such as a word or image, very quickly, typically around 50 milliseconds. This rapid presentation is often followed by another stimulus, such as a pattern of dots or lines, which blocks further mental processing of the initial stimulus. As a result, if participants cannot identify the initial stimulus better...
794
Factors Affecting Perception01:25

Factors Affecting Perception

2.8K
Perception is influenced by perceptual set, context, motivation, and emotion. Perceptual set, or perceptual expectancy, refers to the tendency to perceive things in a particular way, influenced by previous experiences and expectations. This phenomenon affects the interpretation of stimuli, creating a set of mental tendencies and assumptions that impact sensory perceptions of sound, taste, touch, and sight.
An illustrative example of a perceptual set is the scenario where an airline pilot told...
2.8K
Passive Filters01:27

Passive Filters

1.0K
Passive filters are utilized to shape the frequency spectrum of signals across a diverse array of applications. These filters, using only passive elements like resistors (R), inductors (L), and capacitors (C), are capable of selectively allowing or blocking certain frequency ranges without the need for external power sources.
Low-Pass Filters
Low-pass filters are designed to transmit signals with frequencies lower than the cutoff frequency, ωc, and attenuate those above it. The cutoff...
1.0K
Perception01:28

Perception

1.2K
Perception is a fundamental psychological process that enables individuals to organize, interpret, and consciously experience sensory information. This process is crucial for understanding and interacting with the world around us. It includes both bottom-up and top-down processing, each playing a distinct role in how we perceive our environment.
Bottom-up processing begins at the sensory level, where receptors detect external environmental stimuli. These could include the tactile sensation of...
1.2K
Active Filters01:25

Active Filters

1.3K
Active filters are electronic circuits that use operational amplifiers (op-amps), resistors, and capacitors to filter out unwanted frequency components from a signal. A first-order low-pass active filter is designed to pass signals with a frequency lower than a certain cutoff frequency and attenuate frequencies higher than that cutoff frequency. The transfer function for a first-order low-pass active filter is:
1.3K

You might also read

Related Articles

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

Sort by
Same author

Expression of kenaf mitochondrial chimeric genes HM184 causes male sterility in transgenic tobacco plants.

Mitochondrial DNA·2014
Same author

A general route towards defect and pore engineering in graphene.

Small (Weinheim an der Bergstrasse, Germany)·2014
Same author

Telomerase triggered drug release using a SERS traceable nanocarrier.

IEEE transactions on nanobioscience·2014
Same author

Analysis of 24-hour monitoring of intraocular pressure in 1055 eyes.

Eye science·2014
Same author

The variations in the IL1RL1 gene and susceptibility to preeclampsia.

Immunological investigations·2014
Same author

Three-dimensional graphene-carbon nanotube hybrid for high-performance enzymatic biofuel cells.

ACS applied materials & interfaces·2014

Related Experiment Video

Updated: Feb 6, 2026

Use of a Filter Cartridge for Filtration of Water Samples and Extraction of Environmental DNA
08:04

Use of a Filter Cartridge for Filtration of Water Samples and Extraction of Environmental DNA

Published on: November 25, 2016

28.3K

A spatial filtering approach to environmental emotion perception based on electroencephalography.

Yuanyuan Su1, Peng Chen2, Xueying Liu2

  • 1Department of Design, Anhui University, Hefei 230601, China; College of Design, Iowa State University, Ames, IA 50010, USA.

Medical Engineering & Physics
|August 13, 2018
PubMed
Summary

This study introduces an electroencephalography (EEG) method using Independent Component Analysis (ICA) to recognize emotional intensity in adolescents viewing visual environments. The approach shows promise for understanding how built environments impact emotions.

Keywords:
Electroencephalograph (EEG)Emotion perceptionEnvironmentIndependent Component Analysis (ICA)Psychological health

More Related Videos

Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content
10:41

Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content

Published on: May 26, 2018

7.3K
The Floating Lab: Standard Operational Procedure for Collecting and Filtering Seawater Samples from Operating Ferries for Environmental DNA Analysis
06:22

The Floating Lab: Standard Operational Procedure for Collecting and Filtering Seawater Samples from Operating Ferries for Environmental DNA Analysis

Published on: August 1, 2025

1.1K

Related Experiment Videos

Last Updated: Feb 6, 2026

Use of a Filter Cartridge for Filtration of Water Samples and Extraction of Environmental DNA
08:04

Use of a Filter Cartridge for Filtration of Water Samples and Extraction of Environmental DNA

Published on: November 25, 2016

28.3K
Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content
10:41

Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content

Published on: May 26, 2018

7.3K
The Floating Lab: Standard Operational Procedure for Collecting and Filtering Seawater Samples from Operating Ferries for Environmental DNA Analysis
06:22

The Floating Lab: Standard Operational Procedure for Collecting and Filtering Seawater Samples from Operating Ferries for Environmental DNA Analysis

Published on: August 1, 2025

1.1K

Area of Science:

  • Neuroscience
  • Environmental Psychology
  • Computer Science

Background:

  • Visual built environments demonstrably influence individual emotions.
  • Electroencephalography (EEG) provides a method for recording and analyzing these emotional responses.
  • Understanding emotional intensity is crucial for adolescent well-being in various environments.

Purpose of the Study:

  • To develop and validate an EEG-based spatial filtering method using Independent Component Analysis (ICA) for recognizing emotional intensity in adolescents.
  • To identify effective video stimuli for inducing specific emotional states using the normalized valence/arousal space model.
  • To assess the accuracy of emotion recognition based on EEG data.

Main Methods:

  • Developed a stimulus selection strategy based on the normalized valence/arousal space model.
  • Designed an optimal ICA-based spatial filter by analyzing component-to-electrode mapping patterns.
  • Extracted feature parameters from EEG signals using the designed filter.
  • Employed a Support Vector Model for emotion classification.

Main Results:

  • Achieved average recognition accuracy rates of 73.35% for valence and 68.54% for arousal in within-participant tests.
  • Obtained average recognition accuracy rates of 66.98% for valence and 62.62% for arousal in between-participant tests.
  • Demonstrated the feasibility of the proposed ICA-based spatial filtering algorithm.

Conclusions:

  • The proposed EEG-based ICA spatial filtering method is effective for recognizing emotional intensity in adolescents.
  • This technique offers a viable approach to investigate the emotional impact of visual built environments.
  • Further research can refine this method for broader applications in mental health and environmental design.