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

Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the drone...
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it instrumental in...
Facial Feedback Hypothesis01:24

Facial Feedback Hypothesis

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 of...
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
Association Areas of the Cortex01:21

Association Areas of the Cortex

Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
Muscles for Facial Expressions01:14

Muscles for Facial Expressions

The craniofacial muscles are a collection of approximately 20 thin skeletal muscles situated beneath the skin of the face and scalp. These muscles, primarily responsible for the vast array of human facial expressions, originate from the bones or fibrous structures of the skull and extend outwards to connect with the skin. While most skeletal muscles in the body are enveloped in thick fascia, facial muscles generally have a more delicate fascial covering, with the buccinator muscle being a...

You might also read

Related Articles

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

Sort by
Same author

Algorithm Verification and Concurrent Validity of a Web-Based Platform for Multiparametric Acoustic Voice Quality Indices.

Journal of voice : official journal of the Voice Foundation·2026
Same author

Investigating the influence of local and personal common ground on memory for conversation using an online referential communication task.

Journal of experimental psychology. General·2023
Same author

Perturbing the consistency of auditory feedback in speech.

Frontiers in human neuroscience·2022
Same author

Numerical solution of Rothenberg's equation of the glottal airflow rate as a function of the glottal area using backward differentiation (L).

The Journal of the Acoustical Society of America·2021
Same author

Parametrization of the vocal tract area function using a subset selection approach (L).

The Journal of the Acoustical Society of America·2021
Same author

The Performance of the Acoustic Voice Quality Index and Acoustic Breathiness Index in Synthesized Voices.

Journal of voice : official journal of the Voice Foundation·2021
Same journal

Sibilant differentiation before and after tongue cancer surgery: Acoustics, kinematics and the role of sensorimotor controla).

The Journal of the Acoustical Society of America·2026
Same journal

BioNet-A: Ultrasonic echo representation network for target discrimination using active SONAR.

The Journal of the Acoustical Society of America·2026
Same journal

Empty soft-drink cans and mass-loaded rods: Analogous homework problems from acoustic and mechanical domains.

The Journal of the Acoustical Society of America·2026
Same journal

Erratum: Statistical wave field theory: Anisotropic wave fields under Neumann's boundary condition [J. Acoust. Soc. Am. 159(3), 2265-2280 (2026)].

The Journal of the Acoustical Society of America·2026
Same journal

On the modification of tip leakage noise sources by porous treatment.

The Journal of the Acoustical Society of America·2026
Same journal

An educational opportunity: Acoustics in an empty room.

The Journal of the Acoustical Society of America·2026
See all related articles

Related Experiment Video

Updated: Jun 27, 2026

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

Analysis of facial motion patterns during speech using a matrix factorization algorithm.

Jorge C Lucero1, Kevin G Munhall

  • 1Department of Mathematics, University of Brasilia, Brasilia DF 70910-900, Brazil. lucero@unb.br

The Journal of the Acoustical Society of America
|December 10, 2008
PubMed
Summary
This summary is machine-generated.

This study identifies independent facial motion regions during speech using 3D marker data and QR factorization. These "eigenregions" can drive realistic facial animations.

More Related Videos

A Protocol for Comprehensive Assessment of Bulbar Dysfunction in Amyotrophic Lateral Sclerosis (ALS)
12:43

A Protocol for Comprehensive Assessment of Bulbar Dysfunction in Amyotrophic Lateral Sclerosis (ALS)

Published on: February 21, 2011

Related Experiment Videos

Last Updated: Jun 27, 2026

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

A Protocol for Comprehensive Assessment of Bulbar Dysfunction in Amyotrophic Lateral Sclerosis (ALS)
12:43

A Protocol for Comprehensive Assessment of Bulbar Dysfunction in Amyotrophic Lateral Sclerosis (ALS)

Published on: February 21, 2011

Area of Science:

  • Biomechanical analysis
  • Speech science
  • Computer graphics

Background:

  • Facial motion during speech is complex and involves coordinated movements of various facial regions.
  • Understanding these movements is crucial for applications like animation and speech analysis.
  • Previous methods may not fully capture the independent kinematic components of facial motion.

Purpose of the Study:

  • To identify linearly independent kinematic regions of the face during speech.
  • To establish a basis for representing complex facial motion.
  • To enable the generation of facial animations driven by independent motion components.

Main Methods:

  • Collected three-dimensional displacement data of facial markers during speech.
  • Applied QR factorization with column pivoting to identify markers with independent motion.
  • Used the independent marker subset to define and fit motion to other facial markers, identifying regions of influence.
  • Defined these regions as kinematic "eigenregions".

Main Results:

  • Successfully identified a subset of facial markers exhibiting linearly independent motion.
  • Quantified facial regions influenced by each independent kinematic marker.
  • Demonstrated that the combined motion of these "eigenregions" accurately represents total facial motion.
  • Established a method for generating facial animations using collected displacement records.

Conclusions:

  • The proposed method effectively decomposes complex facial motion into independent kinematic components or "eigenregions".
  • This approach provides a robust framework for analyzing and synthesizing speech-driven facial movements.
  • The identified "eigenregions" offer a novel basis for creating more realistic and controllable facial animations.