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Survey on rgb, 3d, thermal, and multimodal approaches for facial expression recognition: History, trends, and affect-related applications
Facial expressions are an important way through which humans interact socially. Building a
system capable of automatically recognizing facial expressions from images and video has …
system capable of automatically recognizing facial expressions from images and video has …
Non-invasive (non-contact) measurements of human thermal physiology signals and thermal comfort/discomfort poses-a review
Heating, ventilation and air-conditioning (HVAC) systems have been adopted to create
comfortable, healthy and safe indoor environments. In the control loop, the technical feature …
comfortable, healthy and safe indoor environments. In the control loop, the technical feature …
[HTML][HTML] A review on automatic facial expression recognition systems assisted by multimodal sensor data
Facial Expression Recognition (FER) can be widely applied to various research areas, such
as mental diseases diagnosis and human social/physiological interaction detection. With the …
as mental diseases diagnosis and human social/physiological interaction detection. With the …
On-road driver emotion recognition using facial expression
H **ao, W Li, G Zeng, Y Wu, J Xue, J Zhang, C Li… - Applied Sciences, 2022 - mdpi.com
With the development of intelligent automotive human-machine systems, driver emotion
detection and recognition has become an emerging research topic. Facial expression-based …
detection and recognition has become an emerging research topic. Facial expression-based …
[HTML][HTML] Video-based stress detection through deep learning
Stress has become an increasingly serious problem in the current society, threatening
mankind's well-beings. With the ubiquitous deployment of video cameras in surroundings …
mankind's well-beings. With the ubiquitous deployment of video cameras in surroundings …
A novel approach to cross dataset studies in facial expression recognition
Recognizing facial expressions is a challenging task both for computers and humans.
Although recent deep learning-based approaches are achieving high accuracy results in …
Although recent deep learning-based approaches are achieving high accuracy results in …
Recent advances on singlemodal and multimodal face recognition: a survey
High performance for face recognition systems occurs in controlled environments and
degrades with variations in illumination, facial expression, and pose. Efforts have been …
degrades with variations in illumination, facial expression, and pose. Efforts have been …
A comparative study of thermal face recognition methods in unconstrained environments
The recognition of faces in unconstrained environments is a challenging problem. The aim
of this work is to carry out a comparative study of face recognition methods working in the …
of this work is to carry out a comparative study of face recognition methods working in the …
[HTML][HTML] Visual and thermal image processing for facial specific landmark detection to infer emotions in a child-robot interaction
C Goulart, C Valadão, D Delisle-Rodriguez… - Sensors, 2019 - mdpi.com
Child-Robot Interaction (CRI) has become increasingly addressed in research and
applications. This work proposes a system for emotion recognition in children, recording …
applications. This work proposes a system for emotion recognition in children, recording …
[書籍][B] Passive eye monitoring: Algorithms, applications and experiments
RI Hammoud - 2008 - books.google.com
The advent of digital technology and image processing in the 1970s has marked a new era
of human machine interaction. Since then there has been a rapid development in the eye …
of human machine interaction. Since then there has been a rapid development in the eye …