Latest Advancements in Wearable Technologies: Sensors, Devices, Smart Wear and Exoskeletons

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Bioelectronics".

Deadline for manuscript submissions: 15 April 2026 | Viewed by 1618

Special Issue Editors


E-Mail Website
Guest Editor
Department of Advanced Robotics (ADVR), Istituto Italiano di Tecnologia (IIT), 16163 Genova, Italy
Interests: robotics; mobile robot; inspection robot; self-reconfigurable robot; modular robot; hybrid platform

E-Mail Website
Guest Editor
Department of Advanced Robotics (ADVR), Istituto Italiano di Tecnologia (IIT), 16163 Genova, Italy
Interests: exoskeletons; rehabilitation robotics

Special Issue Information

Dear Colleagues,

Wearable Technologies (WTs) are revolutionizing multiple domains of human lives, becoming preponderant in daily living, training, rehabilitation, and industry. An innovative paradigm has recently driven the integration of human-centered design principles in several fields, such as healthcare and industry. Both Healthcare and Industry 5.0 require the integration of patients or workers through the use of digital tools. Robotic WTs such as exoskeletons have the potential to directly interact with users, exchanging energy and providing assistance by guiding, reacting to, or supporting their actions. Therefore, these WTs can be used either for prevention, such as in industrial applications, or post-trauma, during rehabilitation. Smart Wear and wearable sensors can capture and monitor the users’ motion and physiological signals, enabling real-time data analysis and performance evaluation through relevant indexes. Risk prediction, both in medical and industry applications, is of vital interest due to its ability to improve wearers’ safety and well-being.

Additionally, machine learning and deep learning techniques can be incorporated to enhance data analysis and support real-time interventions towards multi-biometric monitoring and real-time alarm systems.

This Special Issue is dedicated to the latest advancements in WTs and aims to address these topics by showcasing cutting-edge contributions from researchers worldwide. Contributions may include new designs of exoskeletons, Smart Wear and sensing devices, as well as control strategies for exoskeletons, motion tracking, and human activity recognition algorithms for Smart Wear and sensors.

We believe that through this collection of high-quality research articles, we will provide those researchers in this area a valuable platform to share their latest theoretical, experimental, and applied research findings.

Dr. Sergio Leggieri
Dr. Christian Di Natali
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 250 words) can be sent to the Editorial Office for assessment.

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. Electronics 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

  • wearable technology
  • smart sensors
  • smart devices
  • Smart Wear
  • exoskeletons
  • industry
  • healthcare
  • rehabilitation

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

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

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

21 pages, 4829 KB  
Article
Validating a Wearable VR Headset for Postural Sway: Comparison with Force Plate COP Across Standardized Sensorimotor Tests
by David Saucier, Kaitlyn McDonald, Michael Mydlo, Rachel Barber, Emily Wall, Hunter Derby, Jennifer C. Reneker, Harish Chander, Reuben F. Burch and James L. Weinstein
Electronics 2025, 14(21), 4156; https://doi.org/10.3390/electronics14214156 - 23 Oct 2025
Viewed by 1148
Abstract
This study seeks to determine the efficacy of a novel, virtual reality (VR)-based sensorimotor assessment tool, VIST Neuro-ID, in comparison to the gold standard. This was achieved through computing common postural sway metrics, as well as comparing these metrics across population groups including [...] Read more.
This study seeks to determine the efficacy of a novel, virtual reality (VR)-based sensorimotor assessment tool, VIST Neuro-ID, in comparison to the gold standard. This was achieved through computing common postural sway metrics, as well as comparing these metrics across population groups including sex and age (50–60 vs. 61–75). Sensorimotor assessments were conducted within the VIST Neuro-ID VR software while participants stood on a force plate. A proxy for center-of-pressure measurement was developed using the six-degree-of-freedom data collected from the head-mounted display used with the VR system. Moderate-to-high (r = 0.542–0.906) Pearson’s correlations were found between VIST Neuro-ID and the force plate for all eight postural sway metrics that were computed. Both systems detected significant differences (p < 0.05) across age groups for all metrics, except for two-dimensional path length from the force plate. Several significant differences were found across sexes, including AP and resultant sway velocity from the force plate, and resultant and AP root-mean-square from the HTC Vive Pro Eye. This indicates potential for VR to be used to collect vital postural sway metrics needed for assessing patient function, while also highlighting potential to identify balance patterns related to aging. Full article
Show Figures

Figure 1

Back to TopTop