Multimodal 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: closed (31 March 2021) | Viewed by 4818
Special Issue Editors
Interests: robust speech recognition, especially over communication channels, video and speech coding, multimedia information retrieval, machine learning and data analysis tools like Formal Concept Analysis.
Special Issues, Collections and Topics in MDPI journals
Interests: adiation effects; digital electronics; fault injection; FGPA; dependable design; affective computing; body area network; emotion detection
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Pioneered by Rosalind W. Picard by the end of the last century, affective computing aims at simulating empathy in artificial systems. On the other hand, with the advent of the Internet of Things (IoT) and the widespread use of personal electronic devices, the understanding of the emotional states of the human users can be realized with a plethora of existing sensory modalities and others to come.
This Special Issue welcomes original research papers concerned with both theoretical and applied aspects of multimodal affective computing. Review articles describing the current state-of-the-art of multimodal affective computing are highly encouraged, including overviews of data and computational resources available. All submissions to this Special Issue must include substantial aspects from affective computing and multimodality.
Possible topics include but are not limited to the following:
- Machine learning algorithms for multimodal affective computing;
- Theoretical aspects of multimodal affective computing models;
- Combination and fusion of modalities for affective computing;
- Robustness of multimodal affective computing methods in the wild;
- Multimodal affective computing on the edge for IoT devices;
- Data and method resources for multimodal affective computing;
User profiling and adaptation methods for multimodal affective computing
Prof. Carmen Peláez-Moreno
Prof. Celia López-Ongil
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
- multimodality
- emotion
- artificial intelligence
- machine learning
- human computing
- Internet of Things
- data resources
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