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Sensors and Wearables for AR/VR Applications

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

Deadline for manuscript submissions: 30 April 2026 | Viewed by 1312

Special Issue Editor


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Guest Editor
Production Systems and Processes, Chemnitz University of Technology, Chemnitz, Germany
Interests: AR; VR; HCI; human factors; presence; wearables; spatial computing; haptics; force feedback; training; maintenance; assembly; support; production; circular economy

Special Issue Information

Dear Colleagues,

This Special Issue focuses on the transformative role of sensors and wearables in extended reality (XR), encompassing augmented reality (AR) and virtual reality (VR) applications. As these technologies continue to evolve, they offer unprecedented opportunities to enhance human–computer interaction (HCI) and optimize human factors in various environments.

We welcome contributions that explore the integration of wearable sensors and advanced haptic feedback systems to create immersive and interactive experiences. Research addressing the concept of presence in virtual environments is particularly encouraged, as it plays a crucial role in user engagement and effectiveness. Prototypes of both sensors and actuators are particularly encouraged, emphasizing innovative designs that can advance the field.

Submissions should focus on a range of applications, including, but not limited to, the following:

  • Training and Simulation: Innovative approaches to using XR technologies in educational settings, professional training, and skill development.
  • Healthcare: Prototyping wearable solutions for medical applications, enhancing patient care through immersive simulations and remote monitoring.
  • Agriculture: Utilizing sensors to support precision farming and training applications in XR environments, improving productivity and sustainability.
  • Semiconductors: Exploring the manufacturing and design processes enhanced by XR technologies for training and visualization.
  • Aerospace Industry: Research on wearable technologies for pilot training and maintenance procedures, enhancing safety and efficiency.
  • Automotive Industry: Investigating the use of wearables and haptic feedback in vehicle design and driver training simulations.
  • Maritime Applications: Developing XR solutions for ship navigation and crew training, leveraging spatial computing for enhanced situational awareness.

We seek original research, prototype developments, and case studies that illustrate practical applications of sensors and wearables across these sectors. Our goal is to advance the understanding of how these technologies can shape the future of XR, making significant contributions to both academia and industry.

Dr. Mario Lorenz
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

  • XR
  • AR
  • VR
  • HCI
  • human factors
  • presence
  • wearables
  • spatial computing
  • haptics
  • training

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Published Papers (1 paper)

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Research

20 pages, 5218 KB  
Article
A Robust Bilinear Framework for Real-Time Speech Separation and Dereverberation in Wearable Augmented Reality
by Alon Nemirovsky, Gal Itzhak and Israel Cohen
Sensors 2025, 25(17), 5484; https://doi.org/10.3390/s25175484 - 3 Sep 2025
Viewed by 111
Abstract
This paper presents a bilinear framework for real-time speech source separation and dereverberation tailored to wearable augmented reality devices operating in dynamic acoustic environments. Using the Speech Enhancement for Augmented Reality (SPEAR) Challenge dataset, we perform extensive validation with real-world recordings and review [...] Read more.
This paper presents a bilinear framework for real-time speech source separation and dereverberation tailored to wearable augmented reality devices operating in dynamic acoustic environments. Using the Speech Enhancement for Augmented Reality (SPEAR) Challenge dataset, we perform extensive validation with real-world recordings and review key algorithmic parameters, including the forgetting factor and regularization. To enhance robustness against direction-of-arrival (DOA) estimation errors caused by head movements and localization uncertainty, we propose a region-of-interest (ROI) beamformer that replaces conventional point-source steering. Additionally, we introduce a multi-constraint beamforming design capable of simultaneously preserving multiple sources or suppressing known undesired sources. Experimental results demonstrate that ROI-based steering significantly improves robustness to localization errors while maintaining effective noise and reverberation suppression. However, this comes at the cost of increased high-frequency leakage from both desired and undesired sources. The multi-constraint formulation further enhances source separation with a modest trade-off in noise reduction. The proposed integration of ROI and LCMP within the low-complexity frameworks, validated comprehensively on the SPEAR dataset, offers a practical and efficient solution for real-time audio enhancement in wearable augmented reality systems. Full article
(This article belongs to the Special Issue Sensors and Wearables for AR/VR Applications)
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