About this Research Topic
Recently, lots of theoretical approaches have been developed in the field of computer vision and machine learning which address the analysis and understanding of human behavior. Such studies and research are playing an important role for applications which involve human-robot or human-computer interaction, security, and identification tasks.
The aforementioned topics fall, mainly, under the categories related to computer vision and machine learning, where the theoretical advancements and practical developments usually benefit from the contributions brought by other areas of research in the relevant domains of science and technology, which is due to the multidisciplinary nature of the task.
Our proposed research topic focuses on the applications of the visual analysis of human behavior, which is intended to encourage the initiation and development of innovative solutions pertinent to the subject, where seemingly unrelated concepts indirectly helping enhance the pace and quality of the progress in the context of the main topic will be considered for possible publication as well. Original research and review articles are welcome.
Potential topics of research include, but are not limited to:
• 2D and 3D human recognition and identification
• Emotion recognition
• Emotion induction
• Personality analysis
• Human activity recognition
• 2D and 3D gesture recognition
• Human-computer interaction
• Multi-modal visual analysis of human behavior
• Novel applications of visual analysis of human behavior
• Physiological signals and their effect on emotion
• Contact-free extraction of physiological signals, like heartbeat, fatigue, stress
Keywords: Machine Learning, Deep Learning, Multimodal Emotion Recognition, Virtual Reality, 3D Modelling
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.