AIMC Topic: Automated Facial Recognition

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Understanding the influence of design-related factors on human-AI teaming in a face matching task.

Cognitive research: principles and implications
There has been a steep rise in the use of decision aids enabled by artificial intelligence (AI) for facial identity verification. The use of such systems and the impact of their implementation on human decision-making is still not well understood. Th...

Can artificial intelligence and face recognition using deep learning detect emotions in children with autism?

PloS one
BACKGROUND/OBJECTIVES: This study aimed to evaluate the performance of deep learning models for recognizing facial expressions of children with autism through face recognition technologies.

Low-resolution driver face recognition based on super-resolution and triplet loss.

Scientific reports
Face recognition based on deep neural networks has achieved great success, but its application in resource-constrained and unconstrained scenarios, such as vehicle images from traffic monitoring systems, remains challenging. These scenarios involve c...

An improved facial emotion recognition system using convolutional neural network for the optimization of human robot interaction.

Scientific reports
Artificial intelligence (AI) has been effectively augmenting the features of robotics applications, including surveillance, medical support, aid services for the elderly or disabled, and many more uses. Most robotics applications need a variety of hu...

AI-generated images of familiar faces are indistinguishable from real photographs.

Cognitive research: principles and implications
Human users are now able to generate synthetic face images with artificial intelligence (AI) tools. Although indistinguishable from real photographs, these images have tended to feature fictional identities that do not exist in the real world. As a r...

Real-time facial recognition via multitask learning on raspberry Pi.

Scientific reports
This paper investigates the feasibility of multi-task learning (MTL) for facial recognition on the Raspberry Pi, a low-cost single-board computer, demonstrating its ability to perform complex deep learning tasks in real time. Using MobileNet, MobileN...

An interactive information based DCNN-BiLSTM model with dual attention mechanism for facial expression recognition.

Scientific reports
Human's facial expressions and emotions have direct impact on their action and decision-making abilities. Basic CNN models are complexity of speeding up the operation to minimize the complexity. In this paper, we have proposed a Deep Convolutional Ne...

Multiscale wavelet attention convolutional network for facial expression recognition.

Scientific reports
Deep learning techniques, particularly Convolutional Neural Networks (CNNs), have been widely recognized as effective tools for facial expression recognition applications. The accuracy of facial expression recognition application requires further enh...

Design of a mobile application based on artificial intelligence to identify pain in non-communicating individuals with cerebral palsy.

Research in developmental disabilities
INTRODUCTION: Pain assessment in individuals with cerebral palsy (CP), particularly those unable to self-report, is a significant challenge. Pain is the most common comorbidity in CP, yet current evaluation methods are often subjective and unreliable...

Auxiliary Teaching and Student Evaluation Methods Based on Facial Expression Recognition in Medical Education.

JMIR human factors
Traditional medical education encounters several challenges. The introduction of advanced facial expression recognition technology offers a new approach to address these issues. The aim of the study is to propose a medical education-assisted teaching...