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From:
"Celiktutan Dikici, Oya" <[log in to unmask]>
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Celiktutan Dikici, Oya
Date:
Thu, 21 Jan 2021 17:12:33 +0000
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With apologies for cross-posting, below please see information on the Special Issue titled “Computer Vision Techniques Applied to Human Behaviour Analysis in the Real-World” in MDPI Intelligent Sensors (IF: 3.275).



 Submission Information

======================================

https://www.mdpi.com/journal/sensors/special_issues/human_behaviour_analysis



Submission Deadline

======================================

The special issue is now open for submission. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed on the special issue website. Manuscripts can be submitted until the 1st of August 2021.



Guest Editors

======================================

Dr. Oya Celiktutan, King’s College London, United Kingdom

Prof. Albert Ali Salah, Utrecht University, The Netherlands and Bogazici University, Turkey

Prof. Dongmei Jiang, Northwestern Polytechnical University, China



About the Special Issue

======================================

Intelligent devices, such as smart wearables, intelligent vehicles, virtual assistants and robots, are progressively becoming widespread in many aspects of our daily lives, where effective interaction is increasingly desirable. In such applications, the more information exchanged between the user and the system through multiple modalities, the more versatile, efficient and natural the interaction becomes. Currently, modern intelligent devices do not take into account the user state sufficiently into consideration and thus suffer from lack of personalization and low engagement. In particular, interaction logs and verbal data alone are not adequate for genuinely interpreting human behaviours, and therefore there has been a significant effort to analyse human behaviours from video data. Although significant progress has been made so far, there is still much room for improvement in moving from controlled and acted settings to real-world settings. The key aim of this Special Issue is to bring together cutting-edge research and innovative computer vision techniques applied to human behaviour analysis, from the recognition of gestures and activities to the interpretation of these cues at a higher level for predicting cognitive, social and emotional states. Special issue topics include, but are not limited to:

  *   Unsupervised, semi-supervised and supervised learning-based approaches to human behaviour analysis
  *   Face, gesture and body analysis
  *   Activity recognition and anticipation
  *   Affect and emotion recognition
  *   Interactive behaviour analysis, including multiparty interaction, human-computer interaction, human-robot interaction
  *   Multimodal behaviour analysis, in particular, combining vision with other modalities (e.g., audio, vital signs)
  *   Societal and ethical considerations of human behaviour analysis, including explainability, bias, fairness, privacy
  *   Real-time systems for human behaviour analysis on devices with limited on-board computational power
  *   Databases and open-source tools for human behaviour analysis
  *   Applications in education, healthcare, smart environments, autonomous driving, or any related field



Article Processing Charges (APC) Information

======================================

A limited number of 100% APC waivers or 50% discounts to reduce APC is available for high-quality manuscripts and significant contributions. For more information about APC, please see https://www.mdpi.com/journal/sensors.



We look forward to your contributions!



With many thanks & best regards,

Guest Editors


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