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

Dimensional Analysis03:40

Dimensional Analysis

63.3K
Dimensional analysis, also known as the factor label method, is a versatile approach for mathematical operations. The main principle behind this approach is: the units of quantities must be subjected to the same mathematical operations as their associated numbers. This method can be applied to computations ranging from simple unit conversions to more complex and multi-step calculations involving several different quantities and their units.
Conversion Factors and Dimensional Analysis
The unit...
63.3K
Dimensional Analysis01:27

Dimensional Analysis

661
Dimensional analysis is a valuable technique in fluid mechanics for simplifying complex problems by reducing them into dimensionless groups. These groups capture the essential relationships between the variables involved, allowing researchers and engineers to analyze fluid flow without dealing with each variable individually. This approach reduces the number of independent variables, allowing for easier analysis and better understanding of physical phenomena.
In fluid mechanics, dimensional...
661
Dimensional Analysis01:23

Dimensional Analysis

2.1K
Dimensional analysis is a powerful tool that is used in physics and engineering to understand and predict the behavior of physical systems. The basic idea behind dimensional analysis is to express physical quantities in terms of fundamental dimensions such as the mass, length, and time. Derived dimensions like the velocity, acceleration, and force are derived from the combinations of these fundamental dimensions.
Dimensional analysis allows us to analyze and compare physical quantities on a...
2.1K
Dimensional Analysis02:19

Dimensional Analysis

24.0K
The concept of dimension is important because every mathematical equation linking physical quantities must be dimensionally consistent, implying that mathematical equations must meet the following two rules. The first rule is that, in an equation, the expressions on each side of the equal sign must have the same dimensions. This is fairly intuitive since we can only add or subtract quantities of the same type (dimension). The second rule states that, in an equation, the arguments of any of the...
24.0K
Non-Verbal Cues01:29

Non-Verbal Cues

326
Non-verbal communication extends beyond gestures and facial expressions to include vocal elements known as paralanguage. Paralanguage consists of non-verbal vocal cues such as pitch, loudness, speech rate, pauses, and non-verbal vocalizations like laughter, sighs, and moans. These elements not only accompany speech but also provide critical emotional and contextual information.The Role of Paralanguage in CommunicationParalanguage adds depth to spoken language by conveying emotions and...
326
Subliminal Perception01:15

Subliminal Perception

785
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...
785

You might also read

Related Articles

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

Sort by
Same journal

Trap tales: The influence of red alder stand conditions and forest fragmentation on family-level beetle bycatch diversity.

PloS one·2026
Same journal

MamNet-PT: A Mamba-enhanced hybrid architecture with selective state-space modeling for uncertainty-aware brain tumor segmentation.

PloS one·2026
Same journal

Multicenter evaluation of BACT-Info. and an infection algorithm using Urine Flow Cytometry among clinically diagnosed UTI patients in Indonesia.

PloS one·2026
Same journal

Cross-cultural adaptation and psychometric properties study of Prolonged Grief Disorder Questionnaire (PG-12-R) for caregivers of terminal cancer patients, Thai version.

PloS one·2026
Same journal

Design and in silico validation of donor DNA for RNA-guided recombinase-mediated knockout of mstnb gene in Labeo rohita.

PloS one·2026
Same journal

ViT-MultiRAGNet: A scalable and reliable retrieval-augmented Vision Transformer framework for memory-guided feature fusion multi-modal mammogram classification.

PloS one·2026

Related Experiment Video

Updated: Jan 29, 2026

Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation
07:12

Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation

Published on: August 26, 2016

9.9K

Facial cues to age perception using three-dimensional analysis.

Takeo Imai1, Kyoko Okami1

  • 1Skin Care Laboratory, Kao Corporation, Odawara, Kanagawa, Japan.

Plos One
|February 14, 2019
PubMed
Summary

Facial soft tissue changes influence age perception. This study identified five key aging factors in Japanese women, classifying them into four distinct groups based on these age-related transformations.

Area of Science:

  • Anthropometry
  • Biomedical Engineering
  • Gerontology

Background:

  • Age perception is influenced by facial morphology.
  • Age-related changes in soft facial tissues are significant during adulthood.

Purpose of the Study:

  • To identify specific cues for age perception in Japanese women.
  • To analyze three-dimensional head and face forms to understand age-related transformations.

Main Methods:

  • Created homologous polygon models from 3D scans of participants' faces.
  • Utilized principal component analysis (PCA) on vertex coordinates to extract facial features.
  • Performed cluster analysis on identified aging factors.

Main Results:

  • Extracted 26 principal components, with five significantly correlating with perceived age (p < 0.05).

More Related Videos

Measuring Sensitivity to Viewpoint Change with and without Stereoscopic Cues
08:04

Measuring Sensitivity to Viewpoint Change with and without Stereoscopic Cues

Published on: December 4, 2013

4.8K
Facial Nerve Axotomy in Mice: A Model to Study Motoneuron Response to Injury
10:11

Facial Nerve Axotomy in Mice: A Model to Study Motoneuron Response to Injury

Published on: February 23, 2015

13.7K

Related Experiment Videos

Last Updated: Jan 29, 2026

Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation
07:12

Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation

Published on: August 26, 2016

9.9K
Measuring Sensitivity to Viewpoint Change with and without Stereoscopic Cues
08:04

Measuring Sensitivity to Viewpoint Change with and without Stereoscopic Cues

Published on: December 4, 2013

4.8K
Facial Nerve Axotomy in Mice: A Model to Study Motoneuron Response to Injury
10:11

Facial Nerve Axotomy in Mice: A Model to Study Motoneuron Response to Injury

Published on: February 23, 2015

13.7K
  • These five components were identified as key aging factors.
  • Cluster analysis revealed four distinct groups of participants based on combinations of these aging factors.

    • Conclusions:

    • Japanese women's facial age perception is linked to specific age-related soft tissue transformations.
    • These transformations can be categorized into four distinct patterns, providing cues for age perception.