Multimodal Pattern Recognition of Social Signals in HCI (2nd Edition)
A special issue of Computers (ISSN 2073-431X). This special issue belongs to the section "AI-Driven Innovations".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 1544
Special Issue Editors
Interests: computer vision; human computer interaction; AI; machine learning; evolutionary computation; augmented reality; computer graphics
Special Issues, Collections and Topics in MDPI journals
Interests: artificial neural networks; pattern recognition; cluster analysis; statistical learning theory; data mining; multiple classifier systems; sensor fusion; affective computing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The eighth workshop on the multimodal pattern recognition of social signals in human–computer interactions (MPRSS 2024) was held as part of the 27th International Conference on Pattern Recognition (ICPR), December 01 2024, Kolkata, India. For more details, see the following link: https://sites.google.com/ualr.edu/icpr2024/home. Building intelligent artificial companions capable of interacting with humans in the same way humans interact with each other is a major challenge in affective computing. This type of interactive companion must be capable of perceiving and interpreting multimodal information about the user in order to be able to produce an appropriate response. As part of this, the aforementioned workshop mainly focused on pattern recognition and machine learning methods for the perception of the user’s affective states, activities, and intentions.
The authors of selected papers which were presented at the workshop are invited to submit extended versions to this Special Issue of Computers. Submitted papers should be extended to the size of regular research or review articles, with at least a 50% extension of new results. All submitted papers will undergo our standard peer review process. Accepted papers will be published in open access format in Computers and presented together on this Special Issue’s website. There are no page limitations in this journal.
We also invite regular submissions related to the latest challenges, technologies, solutions, techniques, and fundamental aspects pertaining to the subjects of this Special Issue. Topics of interest include, but are not limited to, the following:
- Algorithms used to recognize emotions, behaviors, activities, and intentions:
- Facial expression recognition;
- The recognition of gestures and head/body poses;
- Audiovisual emotion recognition;
- The analysis of biophysiological data for emotion recognition;
- Multimodal information fusion architectures;
- Multiclassifier systems and multiview classifiers;
- Gesture recognition, activity recognition, and behavior recognition;
- Temporal information fusion.
- Learning algorithms for social signal processing:
- Learning from unlabeled and partially labeled data;
- Learning with noisy/uncertain labels;
- Deep learning architectures;
- Learning time series.
- Applications relevant to the workshop:
- Companion technologies;
- Robotics;
- Assistive systems.
- Benchmark datasets relevant to workshop topics.
Prof. Dr. Mariofanna Milanova
Prof. Dr. Friedhelm Schwenker
Guest Editors
Manuscript Submission Information
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Keywords
- multimodal pattern recognition
- social signals
- human–computer interactions
- affective computing
- artificially intelligent companions
- user affect recognition
- machine learning
- emotion recognition
- gesture recognition
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