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Sensors and Techniques for Virtual Reality, Augmented Reality and Mixed Reality Applications

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".

Deadline for manuscript submissions: closed (30 June 2024) | Viewed by 2733

Special Issue Editor

Prof. Dr. Andrzej Skalski

E-Mail Website
Guest Editor
Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology, 30-059 Krakow, Poland
Interests: augumented reality; MR/AR/VR/XR; medical image analysis; image segmentation; image registration
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In the ever-evolving landscape of immersive techniques (virtual, augmented, and mixed realities (VR, AR, MR)), a burgeoning interest has emerged in the exploration of cutting-edge sensors and techniques. This call for submissions invites researchers and experts to contribute their work to our upcoming journal issue titled "Sensors and Techniques for Virtual Reality, Augmented Reality and Mixed Reality Applications".

As the demand for seamless and immersive experiences continues to shape the future of technology, this Special Issue seeks to consolidate original research and review articles in the field regarding recent advances, innovative technologies, effective solutions, and emerging challenges in the domain of VR, AR, and MR sensors and techniques.

Potential topics include but are not limited to the following:

  • Advanced motion tracking and gesture recognition;
  • Haptic feedback systems for enhanced user interaction;
  • Spatial mapping techniques for realistic virtual environments;
  • Integration of artificial intelligence in VR, AR, and MR applications;
  • Novel sensor technologies;
  • New algorithms for VR, AR, and MR applications in medicine, education, manufacturing, etc.;
  • Innovations in hardware development and software solutions;
  • Interdisciplinary approaches bridging the gap between sensors and techniques.

Prof. Dr. Andrzej Skalski
Guest Editor

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. Sensors 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 2600 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

  • sensor
  • virtual reality
  • augmented reality
  • mixed reality

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (2 papers)

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Research

18 pages, 11425 KiB  
Article
SmartVR Pointer: Using Smartphones and Gaze Orientation for Selection and Navigation in Virtual Reality
by Brianna McDonald, Qingyu Zhang, Aiur Nanzatov, Lourdes Peña-Castillo and Oscar Meruvia-Pastor
Sensors 2024, 24(16), 5168; https://doi.org/10.3390/s24165168 - 10 Aug 2024
Viewed by 951
Abstract
Some of the barriers preventing virtual reality (VR) from being widely adopted are the cost and unfamiliarity of VR systems. Here, we propose that in many cases, the specialized controllers shipped with most VR head-mounted displays can be replaced by a regular smartphone, [...] Read more.
Some of the barriers preventing virtual reality (VR) from being widely adopted are the cost and unfamiliarity of VR systems. Here, we propose that in many cases, the specialized controllers shipped with most VR head-mounted displays can be replaced by a regular smartphone, cutting the cost of the system, and allowing users to interact in VR using a device they are already familiar with. To achieve this, we developed SmartVR Pointer, an approach that uses smartphones to replace the specialized controllers for two essential operations in VR: selection and navigation by teleporting. In SmartVR Pointer, a camera mounted on the head-mounted display (HMD) is tilted downwards so that it points to where the user will naturally be holding their phone in front of them. SmartVR Pointer supports three selection modalities: tracker based, gaze based, and combined/hybrid. In the tracker-based SmartVR Pointer selection, we use image-based tracking to track a QR code displayed on the phone screen and then map the phone’s position to a pointer shown within the field of view of the camera in the virtual environment. In the gaze-based selection modality, the user controls the pointer using their gaze and taps on the phone for selection. The combined technique is a hybrid between gaze-based interaction in VR and tracker-based Augmented Reality. It allows the user to control a VR pointer that looks and behaves like a mouse pointer by moving their smartphone to select objects within the virtual environment, and to interact with the selected objects using the smartphone’s touch screen. The touchscreen is used for selection and dragging. The SmartVR Pointer is simple and requires no calibration and no complex hardware assembly or disassembly. We demonstrate successful interactive applications of SmartVR Pointer in a VR environment with a demo where the user navigates in the virtual environment using teleportation points on the floor and then solves a Tetris-style key-and-lock challenge. Full article
(This article belongs to the Special Issue Sensors and Techniques for Virtual Reality, Augmented Reality and Mixed Reality Applications)
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15 pages, 5861 KiB  
Article
A Framework for Real-Time Gestural Recognition and Augmented Reality for Industrial Applications
by Winnie Torres, Lilian Santos, Gustavo Melo, Andressa Oliveira, Pedro Nascimento, Geovane Carvalho, Tácito Neves, Allan Martins and Ícaro Araújo
Sensors 2024, 24(8), 2407; https://doi.org/10.3390/s24082407 - 10 Apr 2024
Viewed by 1271
Abstract
In recent decades, technological advancements have transformed the industry, highlighting the efficiency of automation and safety. The integration of augmented reality (AR) and gesture recognition has emerged as an innovative approach to create interactive environments for industrial equipment. Gesture recognition enhances AR applications [...] Read more.
In recent decades, technological advancements have transformed the industry, highlighting the efficiency of automation and safety. The integration of augmented reality (AR) and gesture recognition has emerged as an innovative approach to create interactive environments for industrial equipment. Gesture recognition enhances AR applications by allowing intuitive interactions. This study presents a web-based architecture for the integration of AR and gesture recognition, designed to interact with industrial equipment. Emphasizing hardware-agnostic compatibility, the proposed structure offers an intuitive interaction with equipment control systems through natural gestures. Experimental validation, conducted using Google Glass, demonstrated the practical viability and potential of this approach in industrial operations. The development focused on optimizing the system’s software and implementing techniques such as normalization, clamping, conversion, and filtering to achieve accurate and reliable gesture recognition under different usage conditions. The proposed approach promotes safer and more efficient industrial operations, contributing to research in AR and gesture recognition. Future work will include improving the gesture recognition accuracy, exploring alternative gestures, and expanding the platform integration to improve the user experience. Full article
(This article belongs to the Special Issue Sensors and Techniques for Virtual Reality, Augmented Reality and Mixed Reality Applications)
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