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Wearable Sensors for Gait, Human Motion and Health Monitoring

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

Deadline for manuscript submissions: 30 August 2026 | Viewed by 16

Special Issue Editor


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Guest Editor
Information Engineering Department and Research Center \"E. Piaggio”, University of Pisa, Largo L. Lazzerino, 1, 56122 Pisa, Italy
Interests: wearable sensors; human movement reconstruction; inertial sensors; rehabilitation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The rapid advancement of wearable sensing technologies is reshaping the monitoring and assessment of gait, human motion, and health-related parameters. This Special Issue aims to highlight recent progress in wearable sensors, smart sensing systems, and data-driven methodologies for continuous, remote, and personalized health monitoring. In the context of telemedicine and precision medicine, wearable devices enable unobtrusive, real-time acquisition of motion and physiological data, supporting early disease detection, rehabilitation monitoring, and individualized clinical decision-making.

This Special Issue welcomes original research and review articles addressing novel wearable sensor designs, multimodal sensing and data fusion strategies, and artificial intelligence (AI)-based algorithms for motion analysis and predictive health assessment. Particular emphasis is placed on robust and scalable solutions for real-world deployment, including energy-efficient architectures, long-term monitoring, and the translation of laboratory-based methods into daily-life and clinical environments.

Topics of interest include, but are not limited to, remote gait and posture analysis, activity recognition, early diagnosis and monitoring of movement disorders, rehabilitation and assistive technologies, digital biomarkers, and AI-enabled health analytics. By fostering interdisciplinary collaboration among sensor engineering, biomechanics, data science, and clinical research, this Special Issue seeks to advance next-generation wearable sensing technologies for accurate, reliable, and intelligent human motion and health monitoring.

Dr. Nicola Carbonaro
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 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
  • gait analysis
  • human motion analysis
  • health monitoring
  • precision medicine
  • artificial intelligence
  • multimodal sensing
  • sensor fusion
  • digital biomarkers

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Published Papers

This special issue is now open for submission.
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