AIMC Topic: Facial Recognition

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Deep Learning and Improved HMM Training Algorithm and Its Analysis in Facial Expression Recognition of Sports Athletes.

Computational intelligence and neuroscience
Facial expressions are an auxiliary embodiment of information conveyed in the communication between people. Facial expressions can not only convey the semantic information that people want to express but also convey the emotional state of the speaker...

Facial expression recognition based on deep learning.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Facial expression recognition technology will play an increasingly important role in our daily life. Autonomous driving, virtual reality and all kinds of robots integrated into our life depend on the development of facial ex...

Research on Real-Time Face Key Point Detection Algorithm Based on Attention Mechanism.

Computational intelligence and neuroscience
The existing face detection methods were affected by the network model structure used. Most of the face recognition methods had low recognition rate of face key point features due to many parameters and large amount of calculation. In order to improv...

Dual-Path Deep Fusion Network for Face Image Hallucination.

IEEE transactions on neural networks and learning systems
Along with the performance improvement of deep-learning-based face hallucination methods, various face priors (facial shape, facial landmark heatmaps, or parsing maps) have been used to describe holistic and partial facial features, making the cost o...

Enhancement of Patient Facial Recognition through Deep Learning Algorithm: ConvNet.

Journal of healthcare engineering
The use of machine learning algorithms for facial expression recognition and patient monitoring is a growing area of research interest. In this study, we present a technique for facial expression recognition based on deep learning algorithm: convolut...

Deep-Learning-Based Stress Recognition with Spatial-Temporal Facial Information.

Sensors (Basel, Switzerland)
In recent times, as interest in stress control has increased, many studies on stress recognition have been conducted. Several studies have been based on physiological signals, but the disadvantage of this strategy is that it requires physiological-si...

Investigation of a dysmorphic facial phenotype in patients with Gaucher disease types 2 and 3.

Molecular genetics and metabolism
Gaucher disease (GD) is a rare lysosomal storage disorder that is divided into three subtypes based on presentation of neurological manifestations. Distinguishing between the types has important implications for treatment and counseling. Yet, patient...

Improving Human-Robot Interaction by Enhancing NAO Robot Awareness of Human Facial Expression.

Sensors (Basel, Switzerland)
An intriguing challenge in the human-robot interaction field is the prospect of endowing robots with emotional intelligence to make the interaction more genuine, intuitive, and natural. A crucial aspect in achieving this goal is the robot's capabilit...

SFPD: Simultaneous Face and Person Detection in Real-Time for Human-Robot Interaction.

Sensors (Basel, Switzerland)
Face and person detection are important tasks in computer vision, as they represent the first component in many recognition systems, such as face recognition, facial expression analysis, body pose estimation, face attribute detection, or human action...

Predicting pediatric anxiety from the temporal pole using neural responses to emotional faces.

Scientific reports
A prominent cognitive aspect of anxiety is dysregulation of emotional interpretation of facial expressions, associated with neural activity from the amygdala and prefrontal cortex. We report machine learning analysis of fMRI results supporting a key ...