[HTML][HTML] A survey on human face expression recognition techniques
IM Revina, WRS Emmanuel - Journal of King Saud University-Computer …, 2021 - Elsevier
Abstract Human Face expression Recognition is one of the most powerful and challenging
tasks in social communication. Generally, face expressions are natural and direct means for …
tasks in social communication. Generally, face expressions are natural and direct means for …
Facial expression recognition using computer vision: A systematic review
Emotion recognition has attracted major attention in numerous fields because of its relevant
applications in the contemporary world: marketing, psychology, surveillance, and …
applications in the contemporary world: marketing, psychology, surveillance, and …
A survey of ai-based facial emotion recognition: Features, ml & dl techniques, age-wise datasets and future directions
Facial expressions are mirrors of human thoughts and feelings. It provides a wealth of social
cues to the viewer, including the focus of attention, intention, motivation, and emotion. It is …
cues to the viewer, including the focus of attention, intention, motivation, and emotion. It is …
Object recognition and detection with deep learning for autonomous driving applications
Autonomous driving requires reliable and accurate detection and recognition of surrounding
objects in real drivable environments. Although different object detection algorithms have …
objects in real drivable environments. Although different object detection algorithms have …
Facial expression recognition and histograms of oriented gradients: a comprehensive study
Automatic facial expression recognition (FER) is a topic of growing interest mainly due to the
rapid spread of assistive technology applications, as human–robot interaction, where a …
rapid spread of assistive technology applications, as human–robot interaction, where a …
Detecting depression based on facial cues elicited by emotional stimuli in video
B Hu, Y Tao, M Yang - Computers in Biology and Medicine, 2023 - Elsevier
Recently, depression research has received considerable attention and there is an urgent
need for objective and validated methods to detect depression. Depression detection based …
need for objective and validated methods to detect depression. Depression detection based …
Raspberry Pi assisted facial expression recognition framework for smart security in law-enforcement services
Facial expression recognition is an active research area for which the research community
has presented a number of approaches due to its diverse applicability in different real-world …
has presented a number of approaches due to its diverse applicability in different real-world …
Artificial Emotional Intelligence: Conventional and deep learning approach
Artificial intelligence substantially changes the global world, influencing technologies,
machines, and objects in various encouraging aspects nowadays; emotion recognition is …
machines, and objects in various encouraging aspects nowadays; emotion recognition is …
Application of data mining methods in diabetes prediction
M Komi, J Li, Y Zhai, X Zhang - 2017 2nd international …, 2017 - ieeexplore.ieee.org
Data science methods have the potential to benefit other scientific fields by shedding new
light on common questions. One such task is help to make predictions on medical data …
light on common questions. One such task is help to make predictions on medical data …
SMEConvNet: A convolutional neural network for spotting spontaneous facial micro-expression from long videos
Micro-expression is a subtle and involuntary facial expression that may reveal the hidden
emotion of human beings. Spotting micro-expression means to locate the moment when the …
emotion of human beings. Spotting micro-expression means to locate the moment when the …