May 26th, 2021 
Daniela Lopez de Luise 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
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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.
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
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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:
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
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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
