Recent Advanced Applications of Virtual Reality and AI-Driven Human Activity Recognition
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 15 August 2025 | Viewed by 90
Special Issue Editors
Interests: electronics; human activity recognition; elderly physical activity recognition; machine learning; body-worn sensors; wearables; biosensors; augmented reality; computer vision
Special Issues, Collections and Topics in MDPI journals
Interests: wildfire; remote sensing; computer vision; deep learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence and virtual reality provide powerful frameworks for the analysis, recognition, and interpretation of human activities by using advanced algorithms and immersive environments to gain deeper insights into health, well-being, education, sports, and entertainment.
Human activities are highly variable, and the task of collecting large and diverse labeled datasets is complex, often resulting in models that struggle to generalize across different users and environments; meanwhile, computational demands for processing multimodal sensor data and ensuring real-time performance and integration with immersive environments are resource-intensive. Significant progress has been made in resolving existing challenges due to the rapid development of sensing modalities, along with the enabling and transformative capabilities of artificial intelligence and virtual reality. However, increased technical and computational complexity also allows for new scientific and practical questions to arise related to data, algorithms, and real-world deployment.
In order to promote the latest achievements, progress, algorithms, application practices, and other aspects of VR and AI in the field of human activity recognition, we invite prospective authors to contribute to this Special Issue.
Original research articles on technological and application-oriented aspects of this field, as well as reviews, are welcome. These research areas may include (but need not be limited to) the following:
- Deep learning for human activity recognition;
- AI processing in virtual environments;
- AI and sensor data fusion;
- Immersive technologies;
- Intelligent VR systems;
- Intelligent activity tracking;
- Sensor modalities integration;
- Performance metric;
- Dataset labelling strategies;
- IoT and VR platforms for HAR;
- Applications of HAR for understanding behaviour.
We look forward to receiving your contributions.
Dr. Ana Kuzmanic Skelin
Prof. Dr. Damir Krstinic
Guest Editors
Manuscript Submission Information
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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. Electronics 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
- human action recognition (HAR)
- AI-driven virtual reality
- deep learning in HAR
- applications of HAR
- sensor-based Har
- vision-based HAR
- multi-modal HAR
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