AIMC Topic: Facial Muscles

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Stress recognition identifying relevant facial action units through explainable artificial intelligence and machine learning.

Computer methods and programs in biomedicine Nov 17, 2024
BACKGROUND AND OBJECTIVE: Facial cues and expressions constitute a component of bodily responses that provide useful information about one's stress levels. According to the Facial Action Coding System, they can be modelled consistently in terms of fu...
Facial Muscles Young Adult Adult Male Stress, Psychological Face Facial Expression Machine Learning Algorithms Female Humans Artificial Intelligence
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Facial Action Unit Representation Based on Self-Supervised Learning With Ensembled Priori Constraints.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Sep 17, 2024
Facial action units (AUs) focus on a comprehensive set of atomic facial muscle movements for human expression understanding. Based on supervised learning, discriminative AU representation can be achieved from local patches where the AUs are located. ...
Humans Algorithms Databases, Factual Facial Expression Image Processing, Computer-Assisted Facial Muscles Supervised Machine Learning Video Recording Face
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Infants' psychophysiological responses to eye contact with a human and with a humanoid robot.

Biological psychology Aug 17, 2024
Eye contact with a human and with a humanoid robot elicits attention- and affect-related psychophysiological responses. However, these responses have mostly been studied in adults, leaving their developmental origin poorly understood. In this study, ...
Robotics Electromyography Attention Male Infant Galvanic Skin Response Fixation, Ocular Facial Muscles Heart Rate Photic Stimulation Arousal Humans Female
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Portable Facial Expression System Based on EMG Sensors and Machine Learning Models.

Sensors (Basel, Switzerland) May 23, 2024
One of the biggest challenges of computers is collecting data from human behavior, such as interpreting human emotions. Traditionally, this process is carried out by computer vision or multichannel electroencephalograms. However, they comprise heavy ...
Emotions Electromyography Facial Expression Facial Muscles Female Adult Male Humans Machine Learning
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Deep learning strategies with CReToNeXt-YOLOv5 for advanced pig face emotion detection.

Scientific reports Jan 19, 2024
This study underscores the paramount importance of facial expressions in pigs, serving as a sophisticated mode of communication to gauge their emotions, physical well-being, and intentions. Given the inherent challenges in deciphering such expression...
Animals Swine Deep Learning Emotions Communication Animal Welfare Facial Muscles
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Pleasant Stroke Touch on Human Back by a Human and a Robot.

Sensors (Basel, Switzerland) Jan 19, 2023
Pleasant touching is an important aspect of social interactions that is widely used as a caregiving technique. To address the problems resulting from a lack of available human caregivers, previous research has attempted to develop robots that can per...
Facial Muscles Electromyography Emotions Touch Robotics Humans Touch Perception
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Silent Speech Recognition with Strain Sensors and Deep Learning Analysis of Directional Facial Muscle Movement.

ACS applied materials & interfaces Nov 22, 2022
Silent communication based on biosignals from facial muscle requires accurate detection of its directional movement and thus optimally positioning minimum numbers of sensors for higher accuracy of speech recognition with a minimal person-to-person va...
Speech Perception Facial Muscles Humans Deep Learning
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Robot touch with speech boosts positive emotions.

Scientific reports Apr 27, 2022
A gentle touch is an essential part of human interaction that produces a positive care effect. Previously, robotics studies have shown that robots can reproduce a gentle touch that elicits similar, positive emotional responses in humans. However, whe...
Emotions Robotics Touch Perception Humans Facial Muscles Speech
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Deep Joint Spatiotemporal Network (DJSTN) for Efficient Facial Expression Recognition.

Sensors (Basel, Switzerland) Mar 30, 2020
Understanding a person's feelings is a very important process for the affective computing. People express their emotions in various ways. Among them, facial expression is the most effective way to present human emotional status. We propose efficient ...
Male Algorithms Emotions Facial Expression Facial Recognition Female Face Humans Facial Muscles Adult Neural Networks, Computer
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Geometry of orofacial neuromuscular signals: speech articulation decoding using surface electromyography.

Journal of neural engineering Jul 2, 2025
In this article, we present data and methods for decoding speech articulations using surface electromyogram (EMG) signals. EMG-based speech neuroprostheses offer a promising approach for restoring audible speech in individuals who have lost the abili...
Female Young Adult Electromyography Male Adult Speech Production Measurement Middle Aged Humans Facial Muscles Speech
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