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Sensing Technologies for Human Evaluation, Testing and Assessment

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

Deadline for manuscript submissions: 25 March 2026 | Viewed by 149

Special Issue Editors


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Guest Editor
1. Department of Structural Engineering, University of California, San Diego, CA, USA
2. Active, Responsive, Multifunctional, and Ordered-materials Research (ARMOR) Laboratory, The University of California San Diego Jacobs School of Engineering, 9500 Gilman Dr, La Jolla, CA, USA
Interests: digital twins; human performance; machine learning; nanocomposites; stimuli-responsive materials; wearable sensors
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Department of Civil, Chemical, Environmental, and Materials Engineering, University of Bologna, 40136 Bologna, Italy
Interests: structural dynamics; structural health monitoring; structural identification
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Pratt School of Engineering, Duke University, 110 Science Drive, Durham, NC 27709, USA
Interests: integrating people and intelligent systems; human-machine teaming and collaboration; wearable sensors and technologies; structural health monitoring

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Guest Editor
Department of Data and Systems Engineering, The University of Hong Kong, 8/F, Haking Wong Building, Pokfulam Road, Hong Kong, China
Interests: robotics; manufacturing automation; micro/nano manufacturing; nano sensors and devices; intelligent control and systems

Special Issue Information

Dear Colleagues,

This Special Issue aims to focus on the development and application of advanced sensing technologies, innovative materials, and new algorithms for monitoring, assessing, and optimizing human activities and performance. With the growing interdisciplinary interest in wearable sensors, biosensing, assistive devices, and computational models, this Special Issue aims to provide a platform to explore recent advancements that address critical challenges in human evaluation and testing. Topics of interest include the integration of novel sensor technologies, digital twins, machine learning, and signal processing methods for enhanced data acquisition, interpretation, and application across domains such as sports science, rehabilitation, aging, and healthcare.

Our aim is to bridge disciplines, including biomechanics, structural engineering, and signal processing, to facilitate knowledge transfer and foster innovation in sensor-enabled systems. Contributions that showcase experimental studies, algorithmic developments, system design, and real-world applications are particularly welcome to be submitted to this Special Issue.

This Special Issue aligns with the scope of Sensors as we aim to emphasize advancements in physical, chemical, and biosensors, sensor networks, wearable devices, signal processing, and AI-enabled sensing technologies.

Prof. Kenneth Loh
Dr. Said Quqa
Dr. Liming Salvino
Prof. Ning Xi
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. 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
  • biosensing and assistive devices
  • computational biomechanics
  • data fusion
  • machine learning
  • human digital twins
  • healthcare and rehabilitation
  • human activity monitoring

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Published Papers

This special issue is now open for submission.
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