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Advancing Human Gait Monitoring with Wearable Sensors

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

Deadline for manuscript submissions: 20 June 2026 | Viewed by 28

Special Issue Editor


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Guest Editor
Institute of Mechanical, Process and Energy Engineering, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK
Interests: gait analysis and mobility assessment; wearable sensors for health monitoring; Parkinson’s disease and other movement disorders; digital biomarkers for activities of daily living; objective assessment of motor function; digital health technologies for clinical translation

Special Issue Information

Dear Colleagues,

Human gait is a fundamental indicator of health, functional mobility, and neurological status. Advances in wearable sensor technology have enabled continuous, non-invasive, and ecologically valid monitoring of gait in real-world settings. This Special Issue of Sensors aims to explore the latest innovations in

  • Wearable devices;
  • Data acquisition;
  • Signal processing;
  • Machine learning techniques for gait assessment.

Contributions may include, but are not limited to,

  • Inertial measurement units;
  • Pressure insoles;
  • Smart textiles;
  • Multi-sensor integration approaches that capture spatiotemporal, kinematic, and physiological parameters of human walking;
  • Gait analysis in movement disorders.

The Special Issue seeks to highlight research that bridges laboratory-based analyses and monitoring of daily life, with applications in clinical assessment, rehabilitation, fall-risk prediction, sports science, and occupational health. Emphasis is placed on studies that address sensor placement, data reliability, algorithm development, personalization, and the translation of sensor outputs into actionable insights for clinicians, therapists, and individuals.

By focusing on wearable sensors, this Special Issue aligns directly with the journal Sensors, which prioritizes interdisciplinary research on sensor technology, signal processing, and data interpretation. The Special Issue provides a platform for disseminating novel methodologies, practical applications, and challenges in human gait monitoring, fostering the adoption of wearable sensor solutions in healthcare and beyond.

Dr. M. Encarna Micó-Amigo
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. 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 gait monitoring
  • inertial measurement units (IMUs)
  • mobility assessment
  • free-living monitoring
  • machine learning
  • digital biomarkers
  • clinical applications
  • rehabilitation technology
  • remote health monitoring

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Published Papers

This special issue is now open for submission.
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