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Special Issue "Computer Vision Techniques Applied to Human Behaviour Analysis in the Real-World"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: 31 August 2021.

Special Issue Editors

Dr. Oya Celiktutan
Website
Guest Editor
Centre for Robotics Research, Department of Engineering, King’s College London, London WC2R 2LS, United Kingdom
Interests: computer vision; machine learning; human behaviour analysis and synthesis; social signal processing; human–robot interaction
Prof. Albert Ali Salah
Website
Guest Editor
1. Department of Information and Computing Sciences, Utrecht University, 3584CC Utrecht, The Netherlands
2. Department of Computer Engineering, Bogazici University, 34342 Bebek, Istanbul, Turkey
Interests: Machine Learning; Pattern Recognition; Computer Vision; Multimedia Methods; Behaviour Analysis
Prof. Dongmei Jiang

Guest Editor
School of Computer Science, Northwestern Polytechnical University, Xi'an 710072, China
Interests: multimodal affective computing; human-computer interaction; mental health assessment and management

Special Issue Information

Dear Colleagues,

We are happy to invite you to submit a paper for the special issue “Computer Vision Techniques Applied to Human Behaviour Analysis in the Real-World”. The details can be found below.

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 a 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
  • Combining vision with other modalities (e.g., audio, biosignals) for human behaviour analysis
  • 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, or any related field

Dr. Oya Celiktutan

Prof. Albert Ali Salah

Prof. Dongmei Jiang

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 papers will be 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 100 words) can be sent to the Editorial Office for announcement on this website.

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. Sensors 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 2200 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.

Keywords

  • human behaviour analysis
  • computer vision
  • machine learning

Published Papers

This special issue is now open for submission.
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