Advances in Sensor Technologies for Wearable Applications: 2nd Edition
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Wearables".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 793
Special Issue Editors
Interests: nano-composites; microscopy and computational methods in materials science
Special Issues, Collections and Topics in MDPI journals
Interests: spine biomechanics; orthopaedic biomechanics; medical device design; nanocomposite biomaterials
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Following the success of our Special Issue entitled “Advances in Sensor Technologies for Wearable Applications”, we are delighted to announce the launch of its second edition, continuing to spotlight cutting-edge advances in wearable sensor technologies through Open Access publications.
We invite you to explore several highly cited papers from the original issue:
Authors: Anna H. Bailes, Marit Johnson, Rachel Roos, William Clark, Harold Cook, Gina McKernan, Gwendolyn A. Sowa, Rakié Cham and Kevin M. Bell
Authors: Amit Chaudhari, Rakshith Lokesh, Vuthea Chheang, Sagar M. Doshi, Roghayeh Leila Barmaki, Joshua G. A. Cashaback and Erik T. Thostenson
Authors: Junichi Kushioka, Ruopeng Sun, Wei Zhang, Amir Muaremi, Heike Leutheuser, Charles A. Odonkor and Matthew Smuck
Wearable technologies represent an extremely exciting area of research, promising a profound change in health monitoring, personal fitness, performance, rehabilitation, and safety. At the heart of the wearable revolution are advances in sensor technologies that enable natural interfacing with human activity while capturing detailed biomechanical data.
This Special Issue, “Advances in Sensor Technologies for Wearable Applications: 2nd Edition”, will continue to solicit and celebrate advances in sensor technologies that facilitate innovation in the field of wearable applications. Contributions are encouraged in the fields of self-sensing fabrics and foams, flexible strain sensors and arrays, advances in accelerometer and IMU-based systems, and other sensor technologies for tracking human performance or actuating companion technologies based on human movement. In addition to focusing on work advancing the aforementioned technologies, this edition targets the collection of articles on the simultaneous use of multiple synergistic wearable sensor technologies to more fully capture biomarkers that represent the biopsychosocial health status of the wearer, as well as the use of machine learning models to quickly interpret data from a wearable sensor system and provide rapid feedback to the wearer.
Prof. Dr. David T. Fullwood
Prof. Dr. Anton E. Bowden
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. 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
- wearable sensors
- sensor fusion
- machine learning analysis of wearable sensor data
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Related Special Issue
- Advances in Sensor Technologies for Wearable Applications in Sensors (15 articles)
