Connectionists: [journals] CfP: “Special Issue on Computer Vision Techniques Applied to Human Behaviour Analysis in the Real-World” [Intelligent Sensors]

[Albert Ali Salah]

With apologies for cross-posting, please see below information on the S
pecial 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

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

Dr. 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


-- 
Albert Ali Salah, PhD
Prof. Social and Affective Computing,
Department of Information and Computing Sciences, Utrecht University,
www.cs.uu.nl
Adjunct Prof., Department of Computer Engineering, Bogazici University,
www.cmpe.boun.edu.tr
Personal: http://www.staff.science.uu.nl/~salah006/
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