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Advanced Wearable Sensors for Human Gait Analysis

This special issue belongs to the section “Biosignal Processing“.

Special Issue Information

Dear Colleagues,

The rapid development of wearable sensors has revolutionized how we monitor and analyze human movement, particularly in the field of gait analysis. Understanding and assessing human gait is essential for a variety of applications, including rehabilitation, clinical diagnostics, sport performance, and injury prevention. The integration of wearable sensor technologies offers the potential for real-time, personalized, and unobtrusive monitoring of gait, providing valuable insights into both healthy and pathological movement patterns.

This Special Issue seeks to highlight the latest research, innovations, and applications in the field of wearable sensors for human gait analysis. We invite original research articles, reviews, and case studies that explore the development, application, and impact of wearable technologies for capturing and analyzing human gait.

We are particularly interested in contributions that address the following areas:

  • Advancements in wearable sensor technologies;
  • Data processing and machine learning approaches;
  • Clinical applications and rehabilitation;
  • Wearable sensors in sports and performance optimization;
  • Real-time feedback systems for users during training and recovery;
  • User-centric design and implementation challenges.

Dr. Tong Li
Prof. Dr. Qingguo Li
Dr. Bingfei Fan
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. Bioengineering is an international peer-reviewed open access monthly 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 2700 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
  • sport science
  • sensor fusion
  • machine learning

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Bioengineering - ISSN 2306-5354