Facial expression and body gesture emotion recognition: A systematic review on the use of visual data in affective computing
Emotion is an important driver of human decision-making and communication. With the
recent rise of human–computer interaction, affective computing has become a trending …
recent rise of human–computer interaction, affective computing has become a trending …
Deep learning for intelligent human–computer interaction
In recent years, gesture recognition and speech recognition, as important input methods in
Human–Computer Interaction (HCI), have been widely used in the field of virtual reality. In …
Human–Computer Interaction (HCI), have been widely used in the field of virtual reality. In …
Eye tracking, usability, and user experience: A systematic review
Usability and user experience (UX) are emerging concerns around not only application
development but everything designed to be used by people. Evaluation of the UX is, by …
development but everything designed to be used by people. Evaluation of the UX is, by …
Emotion recognition using different sensors, emotion models, methods and datasets: A comprehensive review
Y Cai, X Li, J Li - Sensors, 2023 - mdpi.com
In recent years, the rapid development of sensors and information technology has made it
possible for machines to recognize and analyze human emotions. Emotion recognition is an …
possible for machines to recognize and analyze human emotions. Emotion recognition is an …
Smart healthcare hand gesture recognition using CNN-based detector and deep belief network
Gesture recognition in dynamic images is challenging in computer vision, automation and
medical field. Hand gesture tracking and recognition between both human and computer …
medical field. Hand gesture tracking and recognition between both human and computer …
Transformer for skeleton-based action recognition: A review of recent advances
Skeleton-based action recognition has rapidly become one of the most popular and
essential research topics in computer vision. The task is to analyze the characteristics of …
essential research topics in computer vision. The task is to analyze the characteristics of …
Interacting with medical artificial intelligence: Integrating self-responsibility attribution, human–computer trust, and personality
Artificial intelligence (AI) is revolutionizing the medical industry. This paper first investigates
the mechanism of patients' medical AI acceptance after experiencing AI service failure from …
the mechanism of patients' medical AI acceptance after experiencing AI service failure from …
A novel dual-modal emotion recognition algorithm with fusing hybrid features of audio signal and speech context
With regard to human–machine interaction, accurate emotion recognition is a challenging
problem. In this paper, efforts were taken to explore the possibility to complete the feature …
problem. In this paper, efforts were taken to explore the possibility to complete the feature …
Sensors and artificial intelligence methods and algorithms for human–computer intelligent interaction: A systematic mapping study
To equip computers with human communication skills and to enable natural interaction
between the computer and a human, intelligent solutions are required based on artificial …
between the computer and a human, intelligent solutions are required based on artificial …
Mobilenetv3: a deep learning technique for human face expressions identification
SBR Prasad, BS Chandana - International journal of information …, 2023 - Springer
One of the most cutting-edge methods for understanding a person's current psychological
state is emotion recognition. Due to the nature of emotional expression, an effective feature …
state is emotion recognition. Due to the nature of emotional expression, an effective feature …