The Auto-eFACE: Machine learning–enhanced program yields automated facial palsy assessment tool

MQ Miller, TA Hadlock, E Fortier… - Plastic and …, 2021 - journals.lww.com
Background: Facial palsy assessment is nonstandardized. Clinician-graded scales are
limited by subjectivity and observer bias. Computer-aided grading would be desirable to …

A new dataset for facial motion analysis in individuals with neurological disorders

A Bandini, S Rezaei, DL Guarín… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
We present the first public dataset with videos of oro-facial gestures performed by
individuals with oro-facial impairment due to neurological disorders, such as amyotrophic …

Facial paralysis detection on images using key point analysis

GS Parra-Dominguez, RE Sanchez-Yanez… - Applied Sciences, 2021 - mdpi.com
The inability to move the muscles of the face on one or both sides is known as facial
paralysis, which may affect the ability of the patient to speak, blink, swallow saliva, eat, or …

A novel facial emotion recognition method for stress inference of facial nerve paralysis patients

C Xu, C Yan, M Jiang, F Alenezi, A Alhudhaif… - Expert Systems with …, 2022 - Elsevier
Facial nerve paralysis results in muscle weakness or complete paralysis on one side of the
face. Patients suffer from difficulties in speech, mastication and emotional expression …

Automatic Facial Palsy Detection—From Mathematical Modeling to Deep Learning

E Vrochidou, V Papić, T Kalampokas, GA Papakostas - Axioms, 2023 - mdpi.com
Automated solutions for medical diagnosis based on computer vision form an emerging field
of science aiming to enhance diagnosis and early disease detection. The detection and …

[HTML][HTML] Measuring the potential effects of mirror therapy added to the gold standard facial neuromuscular retraining in patients with chronic peripheral facial palsy …

F Dagenais, C Neville, L Desmet… - JMIR research …, 2023 - researchprotocols.org
Background Facial neuromuscular retraining (fNMR) is a noninvasive physical therapy
widely used to treat peripheral facial palsies. It consists of different intervention methods that …

Artificial Intelligence-based Facial Palsy Evaluation: A Survey

Y Zhang, W Gao, H Yu, J Dong… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Facial palsy evaluation (FPE) aims to assess facial palsy severity of patients, which plays a
vital role in facial functional treatment and rehabilitation. The traditional manners of FPE are …

DeepStroke: An efficient stroke screening framework for emergency rooms with multimodal adversarial deep learning

T Cai, H Ni, M Yu, X Huang, K Wong, J Volpi… - Medical image …, 2022 - Elsevier
In an emergency room (ER) setting, stroke triage or screening is a common challenge. A
quick CT is usually done instead of MRI due to MRI's slow throughput and high cost. Clinical …

The effect of improving facial alignment accuracy on the video-based detection of neurological diseases

DL Guarin, A Bandini, A Dempster, H Wang… - Authorea …, 2023 - authorea.com
Background: Automatic facial landmark localization is an essential component in many
computer vision applications, including video-based detection of neurological diseases …

41 The interaction of gender and culture in the communication of emotion

S Knapp, Y Kyeong, C Cheung… - Language and Emotion …, 2022 - degruyter.com
Communicating emotions is a transactional process that can be understood by examining
the practices of the expressor and the practices of the receiver (eg, emotion perception or …