Virtual Reality Based on Artificial Intelligence and Sensor Technology
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensors and Robotics".
Deadline for manuscript submissions: 15 November 2025 | Viewed by 313
Special Issue Editors
Interests: speech and audio processing; multimedia communication; virtual reality; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; immersive media; AI healthcare; AR/VR/MR/metaverse; 360-degree videos; intelligent systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Virtual reality (VR) and related technologies have dramatically changed many sectors including gaming, healthcare, education, manufacturing, and military training. Central to VR's evolution is the integration of artificial intelligence (AI) and advanced sensor technologies, which enable the creation of more immersive, interactive, and intelligent virtual environments. Such a combination of AI algorithms with sophisticated sensor systems can ensure real-time data acquisition and interpretation and generate adaptive responses for improved user experience (UX) and operational efficiency.
This Special Issue aims to explore cutting-edge research and developments in VR that leverage AI and sensor technology. We seek contributions that advance our understanding of how these technologies can be integrated to improve VR systems, address current challenges, and unlock new applications across various domains.
Topics of Interest
This Special Issue welcomes original research articles, reviews, and case studies on topics including, but not limited to, the following:
- Sensor Fusion in VR: Advances in multi-sensor integration for improving motion tracking, environment interaction, and user experience;
- Immersive VR Systems: Development of hardware and software solutions for more immersive VR, including video and audio processing techniques, haptics, and sensory feedback mechanisms;
- Real-Time Analytics: Use of AI for real-time data processing and decision making in VR environments;
- Healthcare and Rehabilitation: VR applications in therapy, rehabilitation, and mental health interventions supported by intelligent
- Educational and Training Applications: AI-enhanced VR for skill development, remote learning, and workforce training;
- Human–Computer Interaction (HCI): Innovations in user interfaces and interactions driven by sensor data and AI;
- Immersive and Adaptive Experiences: Real-time environment rendering using AI and sensor feedback, adaptive VR systems based on physiological and emotional state monitoring, and multi-sensory experiences (e.g., haptics, smell, and auditory cues) enhanced by sensors and AI;
- Augmented VR Experiences: Combining VR with other technologies such as augmented reality (AR) and mixed reality (MR) through advanced sensors;
- Ethics and Privacy: Addressing the ethical implications and data privacy challenges of AI and sensor integration in VR systems.
Dr. Jing Wang
Dr. Muhammad Shahid Anwar
Guest Editors
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Keywords
- sensors fusion in VR
- immersive VR
- human–computer interaction (HCI): immersive and adaptive experiences
- augmented VR experiences
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