[visionlist] [journals] 2nd CfP: Intelligent Sensors Special Issue on “Computer Vision Techniques Applied to Human Behaviour Analysis in the Real-World”

[Oya Celiktutan]

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). For
more information, please also visit our website at
https://www.mdpi.com/journal/sensors/special_issues/human_behaviour_analysis
.

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
**1st 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 https://www.mdpi.com/journal/sensors.

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.

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
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