Computer Vision Techniques Applied to Human Behaviour Analysis in the Real-World Call for Papers

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: 3.576). For more information, please also visit our website at

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 consider the
user state sufficiently into consideration and thus suffer from lack
of personalization and low engagement. 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, 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.

Submission Information
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 *31st of August 2021*. A limited number of 100% Article
Processing Charge (APC) waivers or 50% discounts to reduce APC is
available for high-quality manuscripts and significant
contributions. For more information about APC, please see

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