Real-World Applications and Techniques of Computer Vision in Behavioral Signal Sensing

Dear Colleagues,

We are delighted to announce and invite you to submit your papers for the Special Issue “Real-World Applications and Techniques of Computer Vision in Behavioral Signal Sensing”.

Recently, many advances have been achieved in the development of various sensors, such as visible light, near-infrared, thermal camera sensors, as well as intelligent devices, such as smart wearables, robots, and intelligent vehicles. These sensors and devices, as well as their combination, have been used in the development of various applications in computer vision, biometrics, video surveillance, medical image analysis, and computer-aided diagnosis. However, at present, modern smart devices and applications are not able to provide personalized services tailored to the specific needs of users due to limited interaction with the user and insufficient understanding of their situation. In recent years, many efforts have been made to use these tools, especially with the development of computer vision-based applications to achieve these goals, and significant progress has been achieved. Despite these advances, there is still much room for improvement in these programs to transform them from purely laboratory and controlled tools to real-world applications. The main purpose of this Special Issue is to invite high-quality and advanced research and applied articles that examine these challenging issues in computer vision for a more accurate analysis of human behavior. The presented articles can range from recognizing gestures and activities using sensory data to interpreting a higher level of this information for cognitive and social analysis.

Topics of interest for this Special Issue include but are not limited to:

• Action/activity recognition and detection;
• Cognitive models for interpretation;
• Deep learning for visual understanding;
• Supervised, semi-supervised, and unsupervised learning methods to analyze human behavior;
• Face and gesture recognition;
• Analysis of human behavior to understand physiological/cognitive disorders;

Analysis of interactive behavior, from human-human, human-object, and human-computer to human-robot interactions;

• Multimodal behavior understanding, using different sensory input, e.g., audio, wearables;
• Video surveillance and event detection;
• Analysis of social impact of human behavior;
• Datasets and applications in healthcare, education, etc.

Dr. Negin Farhood
Prof. Dr. Byung-Gyu Kim
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.