Application of Affective Computing

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 20 July 2024 | Viewed by 378

Special Issue Editors

Department of Computational Engineering, School of Engineering Sciences, Lappeenranta-Lahti University of Technology LUT, 53850 Lappeenranta, Finland
Interests: affective computing; micro-gesture; emotion AI; social signal processing; rPPG
School of Software, Xi’an Jiaotong University, Xi’an 710049, China
Interests: face analysis; emotion analysis; image restoration; physiological signal analysis; action recognition; deep learning
School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
Interests: facial expression analysis; micro-expression analysis; speech emotion recognition; multi-modal emotion recognition; EEG emotion recognition; domain adaptation
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Special Issue Information

Dear Colleagues,

We would like to invite you to submit your research work to our Special Issue, “Application of Affective Computing”.

This Special Issue aims to provide a platform for researchers to share their novel contributions related to machine learning and deep learning methods for affective computing and the application of affective computing. Affective computing is a field that focuses on enabling machines to automatically perceive, recognize, and express emotions from/with multimodal signals, such as video, image, audio, and text. If machines could understand emotions in a similar way to humans, existing human–computer interaction systems would become more natural. With the advancements in deep learning models and the use of well-designed structures and loss functions, affective computing has achieved significant progress and presented promising prospect in recent years. This Special Issue encourages contributions related to unimodal and multimodal affective computing, emotional signal synthesis and conversion, large-scale databases, recent advances in affective computing, as well as applications of affective computing in various fields such as healthcare, education, entertainment, and security.

Broad topics/keywords and areas of interest include but are not limited to:

  • Secure use of data in affective computing;
  • Identity-free affective computing;
  • Unimodal and multimodal affective computing;
  • Emotional signal synthesis and conversion;
  • Large-scale databases on affective computing;
  • Recent advances in affective computing;
  • Applications of affective computing in various fields such as healthcare, education, and entertainment.

Kind Regards,

Dr. Xin Liu
Dr. Jingang Shi
Dr. Yuan Zong
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 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. 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.

Keywords

  • affective computing
  • emotion recognition
  • multimodal information fusion
  • emotion database
  • emotional signal generation and conversion
  • deep neural networks

Published Papers

This special issue is now open for submission.
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