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Wearable Sensing Technologies for Human Movement and Rehabilitation

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

Deadline for manuscript submissions: 30 September 2026 | Viewed by 132

Special Issue Editor


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Guest Editor
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
Interests: nano and micro sensors; integrated circuit (VLSIC) chips; tactile sensing; brain monitoring; EEG; optical imaging

Special Issue Information

Dear Colleagues,

Recent advances in wearable sensing technologies have transformed the quantitative assessment of human movement in both laboratory and real-world environments. Wearable systems, including inertial sensors, pressure sensors, bioelectrical sensors, flexible and textile-integrated devices, and other emerging sensing platforms, now enable continuous monitoring of biomechanics, motor control, and functional recovery across diverse populations.

This Special Issue aims to bring together innovative research on wearable sensing systems for human movement analysis and rehabilitation. We welcome contributions spanning novel sensor designs and materials, system integration and embedded hardware, signal processing and data analytics, digital mobility biomarkers, and clinical validation studies. This Special Issue focuses on wearable sensing technologies for the quantitative assessment of human movement across multiple clinical and translational domains, including neurorehabilitation, orthopaedics, ageing and mobility research, sports and performance science, prosthetics, and assistive technologies. Contributions addressing both neurological and musculoskeletal conditions, as well as healthy population monitoring, are welcome.

The Special Issue welcomes original research articles, methodological and systems papers, and comprehensive review articles that advance wearable sensing technologies or demonstrate impactful applications at the intersection of sensors, biomechanics, and rehabilitation science.

Topics of interest for publication include, but are not limited to, the following:

[Topic 1] Wearable sensing technologies for human movement monitoring.

[Topic 2] Inertial, pressure, bioelectrical, textile, and flexible sensors.

[Topic 3] Gait, posture, and functional mobility assessment.

[Topic 4] Sensor-enabled rehabilitation monitoring and outcome evaluation.

[Topic 5] Digital mobility biomarkers and quantitative functional metrics.

[Topic 6] Embedded systems and real-time wearable signal processing.

[Topic 7] Machine learning and data-driven modelling for movement analysis.

[Topic 8] Longitudinal and real-world monitoring in clinical and home settings.

[Topic 9] Reliability, calibration, and validation of wearable sensing systems.

Prof. Dr. Nitish V. Thakor
Guest Editor

Junjun Chen
Guest Editor Assistant

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
  • human movement analysis
  • rehabilitation engineering
  • gait analysis
  • inertial sensors
  • bioelectrical sensing
  • digital mobility biomarkers
  • signal processing
  • machine learning
  • real-world monitoring

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Published Papers

This special issue is now open for submission.
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