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Virtual Reality and Emerging Technologies in Physical Activity, Sports and...
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Virtual Reality and Emerging Technologies in Physical Activity, Sports and Healthcare

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 30 September 2025 | Viewed by 1335

Special Issue Editors

Dr. Jacek Polechoński

E-Mail Website
Guest Editor
Institute of Sport Sciences, The Jerzy Kukuczka Academy of Physical Education in Katowice, 40-065 Katowice, Poland
Interests: physical activity diagnosis and assessment; physical activity in virtual reality; rehabilitation; movement analysis; posture; functional training; injury prevention
Special Issues, Collections and Topics in MDPI journals
Dr. Agnieszka Nawrocka

E-Mail Website
Guest Editor
Institute of Sport Sciences, The Jerzy Kukuczka Academy of Physical Education in Katowice, 40-065 Katowice, Poland
Interests: physical activity assessment; musculoskeletal disorders; posture; exercise science

Special Issue Information

Dear Colleagues,

The integration of virtual reality (VR) and emerging technologies is transforming the fields of physical activity, sports, and healthcare. VR creates immersive environments that can enhance training, rehabilitation, and the broader promotion of health. Coupled with advancements in wearable technology, mobile health (mHealth) applications, and artificial intelligence (AI), these technologies offer innovative solutions for monitoring and improving physical activity and lifestyle.

The aim of this Special Issue is to explore the latest research and developments in the application of VR and other cutting-edge technologies in promoting physical activity and health. We are interested in studies that demonstrate how these technologies can be used to enhance performance in sports, provide effective rehabilitation, monitor health parameters, and promote an active lifestyle. Research areas of interest include but are not limited to:

  • Virtual reality in exercise and training: investigating the effectiveness of VR in sports training, fitness programs, and virtual coaching.
  • Wearable technology: exploring the use of smartwatches, fitness trackers, and other wearable devices in tracking physical activity and health metrics.
  • Mobile health applications: evaluating the role of mobile apps in encouraging physical activity, providing health feedback, and managing fitness routines.
  • AI in health and fitness: assessing the impact of AI-driven tools in personalizing exercise programs, predicting health risks, and providing real-time feedback.
  • Rehabilitation and therapy: using VR and other technologies to support the rehabilitation of patients with various conditions, improving mobility, cognitive function, and overall quality of life.
  • Health monitoring and telemedicine: examining how technology can facilitate remote health monitoring, virtual consultations, and continuous health assessment.

We welcome submissions of original research, theoretical studies, comprehensive reviews, and surveys that provide insights into the applications and benefits of these technologies.

Dr. Jacek Polechoński
Dr. Agnieszka Nawrocka
Guest Editors

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. Applied Sciences 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

  • virtual reality
  • wearable technology
  • mobile health
  • mHealth
  • AI in health
  • physical activity
  • sport
  • healthcare
  • exergames
  • fitness
  • serious games
  • telemedicine
  • health monitoring
  • rehabilitation

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Published Papers (1 paper)

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Research

20 pages, 6815 KiB  
Article
Development of a Virtual Reality-Based Environment for Telerehabilitation
by Florin Covaciu, Calin Vaida, Bogdan Gherman, Adrian Pisla, Paul Tucan and Doina Pisla
Appl. Sci. 2024, 14(24), 12022; https://doi.org/10.3390/app142412022 - 22 Dec 2024
Viewed by 910
Abstract
The paper presents an innovative virtual reality (VR)-based environment for personalized telerehabilitation programs. This environment integrates a parallel robotic structure designed for the lower limb rehabilitation of patients with neuromotor disabilities and a virtual patient. The robotic structure is controlled via a user [...] Read more.
The paper presents an innovative virtual reality (VR)-based environment for personalized telerehabilitation programs. This environment integrates a parallel robotic structure designed for the lower limb rehabilitation of patients with neuromotor disabilities and a virtual patient. The robotic structure is controlled via a user interface (UI) that communicates with the VR environment via the TCP/IP protocol. The robotic structure can also be operated using two controllers that communicate with a VR headset via the Bluetooth protocol. Through these two controllers, the therapist demonstrates to the patient various exercises that the robotic system can perform. With the right-hand controller, the therapist guides exercises for the hip and knee, while the left-hand controller manages ankle exercises. The therapist remotely designs a rehabilitation plan for patients at home, defining exercises, interacting with the rehabilitation robot in real-time via the VR headset and the two controllers, and initiating therapy sessions. The user interface allows monitoring of patient progress through video feedback, electromyography (EMG) sensors, and session recording. Full article
(This article belongs to the Special Issue Virtual Reality and Emerging Technologies in Physical Activity, Sports and Healthcare)
►▼ Show Figures

Figure 1

Figure 1
<p>General architecture of the system.</p> Full article ">Figure 2
<p>Parallel robotic system for lower limb rehabilitation: (<b>a</b>) kinematic scheme; (<b>b</b>) experimental model.</p> Full article ">Figure 3
<p>The interconnections between components.</p> Full article ">Figure 4
<p>UML deployment diagram.</p> Full article ">Figure 5
<p>UML use case diagram.</p> Full article ">Figure 6
<p>UML activity diagram.</p> Full article ">Figure 7
<p>UML class diagram.</p> Full article ">Figure 8
<p>User interface: Exercises.</p> Full article ">Figure 9
<p>User interface: Video monitoring &amp; Robot control.</p> Full article ">Figure 10
<p>User interface: Session history.</p> Full article ">Figure 11
<p>Devices used in the control of the robotic system: (<b>a</b>) VR headset; (<b>b</b>) controllers.</p> Full article ">Figure 12
<p>Rehabilitation exercises in the virtual environment using the LegUp robot. (<b>a</b>,<b>b</b>) Hip Abduction; (<b>c</b>,<b>d</b>) Hip Flexion; (<b>e</b>,<b>f</b>) Knee Flexion; (<b>g</b>,<b>h</b>) Ankle Dorsiflexion; (<b>i</b>,<b>j</b>) Ankle Inversion.</p> Full article ">Figure 12 Cont.
<p>Rehabilitation exercises in the virtual environment using the LegUp robot. (<b>a</b>,<b>b</b>) Hip Abduction; (<b>c</b>,<b>d</b>) Hip Flexion; (<b>e</b>,<b>f</b>) Knee Flexion; (<b>g</b>,<b>h</b>) Ankle Dorsiflexion; (<b>i</b>,<b>j</b>) Ankle Inversion.</p> Full article ">Figure 13
<p>Remote control through the user interface with integrated video streaming and monitoring.</p> Full article ">
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