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Facial Recognition

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Leveraging ResNet and label distribution in advanced intelligent systems for facial expression recognition.

Mathematical biosciences and engineering : MBE
With the development of AI (Artificial Intelligence), facial expression recognition (FER) is a hot topic in computer vision tasks. Many existing works employ a single label for FER. Therefore, the label distribution problem has not been considered fo...

Facial expression recognition using lightweight deep learning modeling.

Mathematical biosciences and engineering : MBE
Facial expression is a type of communication and is useful in many areas of computer vision, including intelligent visual surveillance, human-robot interaction and human behavior analysis. A deep learning approach is presented to classify happy, sad,...

Speckle-Based Optical Cryptosystem and its Application for Human Face Recognition via Deep Learning.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Face recognition has become ubiquitous for authentication or security purposes. Meanwhile, there are increasing concerns about the privacy of face images, which are sensitive biometric data and should be protected. Software-based cryptosystems are wi...

Facial Emotion Recognition in Verbal Communication Based on Deep Learning.

Sensors (Basel, Switzerland)
Facial emotion recognition from facial images is considered a challenging task due to the unpredictable nature of human facial expressions. The current literature on emotion classification has achieved high performance over deep learning (DL)-based m...

Fusion Methods for Face Presentation Attack Detection.

Sensors (Basel, Switzerland)
Face presentation attacks (PA) are a serious threat to face recognition (FR) applications. These attacks are easy to execute and difficult to detect. An attack can be carried out simply by presenting a video, photo, or mask to the camera. The literat...

Artificial intelligence to evaluate postoperative pain based on facial expression recognition.

European journal of pain (London, England)
BACKGROUND: Pain intensity evaluation by self-report is difficult and biased in non-communicating people, which may contribute to inappropriate pain management. The use of artificial intelligence (AI) to evaluate pain intensity based on automated fac...

Facial Emotions Are Accurately Encoded in the Neural Signal of Those With Autism Spectrum Disorder: A Deep Learning Approach.

Biological psychiatry. Cognitive neuroscience and neuroimaging
BACKGROUND: Individuals with autism spectrum disorder (ASD) exhibit frequent behavioral deficits in facial emotion recognition (FER). It remains unknown whether these deficits arise because facial emotion information is not encoded in their neural si...

The landscape of facial processing applications in the context of the European AI Act and the development of trustworthy systems.

Scientific reports
This work focuses on facial processing, which refers to artificial intelligence (AI) systems that take facial images or videos as input data and perform some AI-driven processing to obtain higher-level information (e.g. a person's identity, emotions,...

Face identity coding in the deep neural network and primate brain.

Communications biology
A central challenge in face perception research is to understand how neurons encode face identities. This challenge has not been met largely due to the lack of simultaneous access to the entire face processing neural network and the lack of a compreh...

LEMON: A Lightweight Facial Emotion Recognition System for Assistive Robotics Based on Dilated Residual Convolutional Neural Networks.

Sensors (Basel, Switzerland)
The development of a Social Intelligence System based on artificial intelligence is one of the cutting edge technologies in Assistive Robotics. Such systems need to create an empathic interaction with the users; therefore, it os required to include a...