Smart Technologies in Augmented and Virtual Reality: From Detection to Forecasting
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 10 December 2024 | Viewed by 1685
Special Issue Editors
Interests: computer vision; action recognition; trajectory prediction; memory networks; fashion recommendation; autonomous driving
Interests: information networks
Interests: Machine Learning; Pattern Recognition; Computer Vision
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, there has been a growing interest towards Augmented Reality (AR) and Virtual Reality (VR), which enable users to interact with computer-generated content in immersive ways. AR involves the overlay of digital content onto the real world, while VR involves the creation of a fully digital environment. Applications of AR/VR include gaming, education, training, entertainment, among others.
Deep learning techniques play a pivotal role to improve the performance of AR and VR systems, with applications ranging from understanding what content is present in virtual or augmented environments to forecasting how the user will behave to provide a more rewarding experience.
The goal of this special issue is to bring together researchers working on deep learning in AR/VR. The focus is on both theoretical and practical aspects of the field. Topics of interest include, but are not limited to:
- Object detection and recognition in AR/VR
- Tracking and localization in AR/VR
- Scene understanding and forecasting in AR/VR
- Deep learning for improving the user experience in AR/VR
- Head motion forecasting in AR/VR
- Trajectory prediction in AR/VR
- Bandwidth optimization in AR/VR
Dr. Federico Becattini
Dr. Lucile Sassatelli
Dr. Lorenzo Seidenari
Dr. Carmen Bisogni
Guest Editors
Manuscript Submission Information
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Keywords
- augmented reality
- virtual reality
- deep learning
- detection
- forecasting
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Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
This article addresses the design of an intuitive haptic device for shooting practice, to be implemented together with a virtual reality simulator. The device consists of an airsoft gun, whose trigger mechanism has been instrumented with a magnetic Hall effect sensor, to detect the moment of firing. Since feedback plays an essential role in creating a more immersive simulation experience by actively engaging the user's senses, in this device it was implemented through a CO2 tank that gives the user haptic feedback approximating a real gunshot. The sensor communicates with a dual ESP32 Type C development board, programmed to function as a Bluetooth keyboard transmitting trigger information to the virtual environment. This feature allows wide flexibility, since the device can be interfaced with applications based on different operating systems such as Windows, Android or IOS. The simulation runs on a high-end video game console and is presented to the user through a virtual reality head-mounted display. To test both the device and its interaction with the simulator, a WLAN virtual multi-user environment was designed where each of the participants has a weapon and simulates the confrontation with each other. This feature adds versatility to the system since the virtual environment can be configurated as required.
