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Electronics
Special Issues
Advanced Research in Wireless and Wearable Technology and Applications
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Advanced Research in Wireless and Wearable Technology and Applications

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: closed (28 July 2023) | Viewed by 4160

Special Issue Editor

Prof. Dr. Miroslav Joler

E-Mail Website
Guest Editor
Faculty of Engineering, University of Rijeka, 51000 Rijeka, Croatia
Interests: smart clothing; wearable antennas; wireless power transfer; self-adaptive antenna arrays; biomedical applications of electromagnetics

Special Issue Information

Dear Colleagues,

The ongoing advancements and miniaturization of electronic circuits have enabled us to enjoy wireless and wearable devices in compact forms and small sizes, such as headsets, smart bracelets (fitness trackers), smart watches, or miniature sensors that measure either environmental parameters or physical parameters of the body. Thanks to this progress, there is a growing number of new applications and opportunities ahead of us. Additionally, progress in making advanced textile materials is another track that will lead to exciting applications in the foreseeable future in the form of smart clothing. The challenge remains to seamlessly integrate fabrics with miniature sensors, transceivers, antennas, power supplies and electric connections, all in comfortable-to-wear and practical-to-maintain products. To achieve the desired breakthrough, future research should provide efficient means of energy harvesting and wearable batteries, the seamless integration of low-profile antennas and waveguides into fabrics, small-form and low-power transceivers and the integration of various other components into a body area network. Moreover, the modeling of wireless channels for on-body and off-body communications, studying the ways that the human body interacts with electromagnetic radiation and the means for providing adequate safety measures against the excessive exposure to electromagnetic radiation should also be further addressed in the context of a larger number of high-frequency devices working in close proximity to the body over an extended period of time.

This Special Issue aims to provide the latest R&D findings in the dynamic market of wireless and wearable technology, covering analysis, circuit design and system design, integration of electronic components into a comfortably wearable product, and providing the latest findings in securing protective measures for the implementation of radio-frequency devices for the body. It invites original research contributions from the following research areas and topics close to them:

  • advanced textiles and substrates;
  • biomedical circuits and systems;
  • energy harvesting and wearable batteries;
  • wearable antennas;
  • printed antennas and antennas on ultra-thin substrates;
  • millimeter-wave techniques and antennas;
  • terahertz antennas and applications;
  • substrate integrated waveguides;
  • low-power transceivers;
  • wearable sensors and wireless sensor networks;
  • body area networks;
  • channel models for on-body communications;
  • electromagnetic radiation interaction with the body.

This Special Issue intends to supplement the existing literature with a balanced selection of original research contributions addressing the development of advanced materials, components, devices and applications, in the form of theoretical and empirical studies.

Prof. Dr. Miroslav Joler
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. 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

  • energy harvesting
  • wearable sensors
  • wearable antennas
  • millimeter wave and terahertz antennas
  • printed antennas
  • antennas on ultra-thin substrates
  • smart clothing
  • advanced textile
  • substrate-integrated waveguides
  • low-power transceivers
  • body area networks
  • biomedical applications
  • exposure to electromagnetic radiation and safety measures

Published Papers (2 papers)

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19 pages, 1781 KiB  
Article
A Comparison of Machine Learning Algorithms for Wi-Fi Sensing Using CSI Data
by Muhammad Ali, Paul Hendriks, Nadine Popping, Shaul Levi and Arjmand Naveed
Electronics 2023, 12(18), 3935; https://doi.org/10.3390/electronics12183935 - 18 Sep 2023
Viewed by 1824
Abstract
In today’s digital era, our lives are deeply intertwined with advancements in digital electronics and Radio Frequency (RF) communications. From cell phones to laptops, and from Wireless Fidelity (Wi-Fi) to Radio Frequency IDentification (RFID) technology, we rely on a range of electronic devices [...] Read more.
In today’s digital era, our lives are deeply intertwined with advancements in digital electronics and Radio Frequency (RF) communications. From cell phones to laptops, and from Wireless Fidelity (Wi-Fi) to Radio Frequency IDentification (RFID) technology, we rely on a range of electronic devices for everyday tasks. As technology continues to evolve, it presents innovative ways to harness existing resources more efficiently. One remarkable example of this adaptability is the utilization of Wi-Fi networks for Wi-Fi sensing. With Wi-Fi sensing, we can repurpose existing networking devices not only for connectivity but also for essential functions like motion detection for security systems, human motion tracking, fall detection, personal identification, and gesture recognition using Machine Learning (ML) techniques. Integrating Wi-Fi signals into sensing applications expands their potential across various domains. At the Gamgee, we are actively researching the utilization of Wi-Fi signals for Wi-Fi sensing, aiming to provide our clients with more valuable services alongside connectivity and control. This paper presents an orchestration of baseline experiments, analyzing a variety of machine learning algorithms to identify the most suitable one for Wi-Fi-based motion detection. We use a publicly available Wi-Fi dataset based on Channel State Information (CSI) for benchmarking and conduct a comprehensive comparison of different machine learning techniques in the classification domain. We evaluate nine distinct ML techniques, encompassing both shallow learning (SL) and deep learning (DL) methods, to determine the most effective approach for motion detection using Wi-Fi router CSI data. Our assessment involves six performance metrics to gauge the effectiveness of each machine learning technique. Full article
(This article belongs to the Special Issue Advanced Research in Wireless and Wearable Technology and Applications)
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19 pages, 4263 KiB  
Article
Integration of Wearables and Wireless Technologies to Improve the Interaction between Disabled Vulnerable Road Users and Self-Driving Cars
by Antonio Guerrero-Ibañez, Ismael Amezcua-Valdovinos and Juan Contreras-Castillo
Electronics 2023, 12(17), 3587; https://doi.org/10.3390/electronics12173587 - 25 Aug 2023
Cited by 2 | Viewed by 1608
Abstract
The auto industry is accelerating, and self-driving cars are becoming a reality. However, the acceptance of such cars will depend on their social and environmental integration into a road traffic ecosystem comprising vehicles, motorcycles, bicycles, and pedestrians. One of the most vulnerable groups [...] Read more.
The auto industry is accelerating, and self-driving cars are becoming a reality. However, the acceptance of such cars will depend on their social and environmental integration into a road traffic ecosystem comprising vehicles, motorcycles, bicycles, and pedestrians. One of the most vulnerable groups within the road ecosystem is pedestrians. Assistive technology focuses on ensuring functional independence for people with disabilities. However, little effort has been devoted to exploring possible interaction mechanisms between pedestrians with disabilities and self-driving cars. This paper analyzes how self-driving cars and disabled pedestrians should interact in a traffic ecosystem supported by wearable devices for pedestrians to feel safer and more comfortable. We define the concept of an Assistive Self-driving Car (ASC). We describe a set of procedures to identify people with disabilities using an IEEE 802.11p-based device and a group of messages to express the intentions of disabled pedestrians to self-driving cars. This interaction provides disabled pedestrians with increased safety and confidence in performing tasks such as crossing the street. Finally, we discuss strategies for alerting disabled pedestrians to potential hazards within the road ecosystem. Full article
(This article belongs to the Special Issue Advanced Research in Wireless and Wearable Technology and Applications)
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