Search research articles

Related Concept Videos

Muscles for Facial Expressions

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...

Prosopagnosia

Prosopagnosia

Prosopagnosia, also known as face blindness, is the inability to recognize faces. In severe cases, individuals with prosopagnosia may not recognize close family members, including parents and spouses, by their faces. For instance, someone with prosopagnosia might walk past their child in a crowd, only realizing their mistake upon noticing their child's distinctive backpack or favorite jacket. Prosopagnosia specifically impairs facial recognition, while the recognition of other objects or...

You might also read

Related Articles

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

Sort by

Same author

A BODIPY-based turn-on fluorescent probe for the selective detection of hydrogen sulfide in solution and in cells.

Talanta·2015

Same author

Analysis of sagittal balance using spinopelvic parameters in ankylosing spondylitis patients treated with vertebral column decancellation surgery.

Acta orthopaedica Belgica·2015

Same author

Using a 3D Culture System to Differentiate Visceral Adipocytes In Vitro.

Endocrinology·2015

Same author

Noncontact Monitoring of Blood Oxygen Saturation Using Camera and Dual-Wavelength Imaging System.

IEEE transactions on bio-medical engineering·2015

Same author

Digital human modeling and its applications: Review and future prospects.

Journal of X-ray science and technology·2015

Same author

Capture-based high-coverage NGS: a powerful tool to uncover a wide spectrum of mutation types.

Genetics in medicine : official journal of the American College of Medical Genetics·2015

Same journal

Transfer Learning with Simulated and Recorded Data Improves Predictions of Lateral Pinch Thumb-Tip Forces.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026

Same journal

Sensing Muscle Deformation for Upper-Limb Prosthetic Control: a Narrative Review.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026

Same journal

Entropy-Based Graph Learning Framework for Cross-Subject Detection of Electrical Status Epilepticus During Sleep (ESES).

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026

Same journal

Touch-related electrophysiology activity promotes human movements initiation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026

Same journal

Ultrasound-Informed State Estimation of Wrist Tremor Dynamics via Koopman Operator for Personalized Sensory Peripheral Nerve Stimulation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026

Same journal

Motion Intention Recognition and DDPG-Based Adaptive Impedance Control for a Robotic Upper-Limb Exoskeleton.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026

See all related articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: Jun 15, 2025

Single-stage Dynamic Reanimation of the Smile in Irreversible Facial Paralysis by Free Functional Muscle Transfer

Single-stage Dynamic Reanimation of the Smile in Irreversible Facial Paralysis by Free Functional Muscle Transfer

Published on: March 1, 2015

Artificial Intelligence-Based Facial Palsy Evaluation: A Survey.

Yating Zhang, Weixiang Gao, Hui Yu

IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society

|August 22, 2024

Summary

This summary is machine-generated.

Artificial intelligence (AI) offers objective methods for facial palsy evaluation (FPE), improving upon subjective clinical judgment. This survey reviews AI-based FPE systems, guiding future research for real-world application.

More Related Videos

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

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

Published on: February 21, 2011

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

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

Published on: August 26, 2016

Related Experiment Videos

Last Updated: Jun 15, 2025

Single-stage Dynamic Reanimation of the Smile in Irreversible Facial Paralysis by Free Functional Muscle Transfer

Single-stage Dynamic Reanimation of the Smile in Irreversible Facial Paralysis by Free Functional Muscle Transfer

Published on: March 1, 2015

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

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

Published on: February 21, 2011

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

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

Published on: August 26, 2016

Area of Science:

Medical Imaging
Artificial Intelligence
Rehabilitation Medicine

Background:

Facial palsy evaluation (FPE) traditionally relies on subjective clinical judgment, limiting consistency and objectivity.
Artificial intelligence (AI) presents a promising avenue for developing automated and objective FPE systems.
Advancements in AI offer potential to significantly improve facial functional treatment and rehabilitation outcomes.

Purpose of the Study:

To provide a systematic review of state-of-the-art AI-based facial palsy evaluation (FPE) methods.
To guide researchers in developing and applying automatic FPE systems in clinical practice.
To identify current challenges and future research directions in AI-driven FPE.

Main Methods:

Comprehensive literature review of AI-based FPE publications since 2008.
Summarization of the general pipeline for FPE systems.
Overview of public databases, evaluation metrics, and preprocessing techniques used in FPE.

Main Results:

Detailed summary of state-of-the-art AI techniques applied to FPE.
Identification of existing public datasets and standard objective evaluation metrics.
Analysis of preprocessing methods crucial for AI-based FPE.

Conclusions:

AI-based FPE demonstrates significant potential to overcome limitations of traditional subjective methods.
Further research is needed to address current challenges and facilitate real-world clinical application of automated FPE.
This survey provides a foundational resource for researchers advancing AI in facial palsy assessment.