A survey of emotion recognition methods with emphasis on E-Learning environments
Emotions play an important role in the learning process. Considering the learner's emotions
is essential for electronic learning (e-learning) systems. Some researchers have proposed …
is essential for electronic learning (e-learning) systems. Some researchers have proposed …
Spontaneous facial micro-expression analysis using spatiotemporal completed local quantized patterns
Spontaneous facial micro-expression analysis has become an active task for recognizing
suppressed and involuntary facial expressions shown on the face of humans. Recently …
suppressed and involuntary facial expressions shown on the face of humans. Recently …
[PDF][PDF] Facial micro-expression recognition using spatiotemporal local binary pattern with integral projection
Recently, there are increasing interests in inferring mirco-expression from facial image
sequences. For microexpression recognition, feature extraction is an important critical issue …
sequences. For microexpression recognition, feature extraction is an important critical issue …
Discriminative spatiotemporal local binary pattern with revisited integral projection for spontaneous facial micro-expression recognition
Recently, there have been increasing interests in inferring mirco-expression from facial
image sequences. Due to subtle facial movement of micro-expressions, feature extraction …
image sequences. Due to subtle facial movement of micro-expressions, feature extraction …
Preventing deepfake attacks on speaker authentication by dynamic lip movement analysis
CZ Yang, J Ma, S Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Recent research has demonstrated that lip-based speaker authentication systems can not
only achieve good authentication performance but also guarantee liveness. However, with …
only achieve good authentication performance but also guarantee liveness. However, with …
Recognizing spontaneous micro-expression using a three-stream convolutional neural network
Micro-expression recognition (MER) has attracted much attention with various practical
applications, particularly in clinical diagnosis and interrogations. In this paper, we propose a …
applications, particularly in clinical diagnosis and interrogations. In this paper, we propose a …
Person re-identification by regularized smoothing kiss metric learning
With the rapid development of the intelligent video surveillance (IVS), person re-
identification, which is a difficult yet unavoidable problem in video surveillance, has received …
identification, which is a difficult yet unavoidable problem in video surveillance, has received …
Multi-modal emotion analysis from facial expressions and electroencephalogram
Automatic analysis of human spontaneous behavior has attracted increasing attention in
recent years from researchers in computer vision. This paper proposes an approach for multi …
recent years from researchers in computer vision. This paper proposes an approach for multi …
Lip image segmentation based on a fuzzy convolutional neural network
Research has shown that the human lip and its movements are a rich source of information
related to speech content and speaker's identity. Lip image segmentation, as a fundamental …
related to speech content and speaker's identity. Lip image segmentation, as a fundamental …
Fine-grained lip image segmentation using fuzzy logic and graph reasoning
Fine-grained lip image segmentation plays a critical role in downstream tasks, such as
automatic lipreading, as it enables the accurate identification of inner mouth components …
automatic lipreading, as it enables the accurate identification of inner mouth components …