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Kinetic Analysis of Movement With Wearable Systems

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

Deadline for manuscript submissions: 20 January 2025 | Viewed by 95

Special Issue Editor


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Guest Editor
School of Engineering, Ecole Polytechnique Federale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland
Interests: wearable technologies for movement analysis; smart sensors; inertial sensors pervasive measurement; biomechanics of movement in sport; algorithm for movement identification and classification; injury prevention in sport; training load estimation; biofeedback
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Special Issue Information

Dear Colleagues,

Kinetic analysis explores the factors that cause movement, particularly focusing on the forces and moments exerted on joints and the various segments of the body. While kinetics is generally measured and obtained in the laboratory using force plates and other stationary systems, measuring it outside the laboratory and in real-life conditions remains a challenge. Inertial measurement units (IMUs) offer many possibilities for designing wearable systems for estimating the kinematics of motion, such as the position and orientation of body segments. However, despite the potential of IMUs and other wearable sensors, including force and pressure transducers, to characterize kinetic values, their application in kinetic measurements remains comparatively under-utilized.

This Special Issue deals with wearable measurement systems in which sensors such as IMUs, force and pressure transducers, and other body-worn sensors are used to estimate key kinetic parameters such as force, moment, power, and energy. The focus of this Special Issue goes beyond the controlled conditions of the laboratory and concentrates on activities carried out in the real world.

We invite original contributions discussing kinetic estimation using body-worn sensors with an emphasis on investigating the validity and reliability of proposed systems when deployed outside the laboratory environment. In addition, this Special Issue focuses on measurement systems that are applicable and relevant in the clinical, health, and sports fields. By exploring the potential of wearable technology in the assessment of movement kinetics, this collection aims to bridge the gap between laboratory-based studies and real-world applications, promoting advances in our understanding of human movement.

Prof. Dr. Kamiar Aminian
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

  • Inertial Measurement Units (IMUs)
  • force and pressure transducers
  • wearable technologies
  • joint force and moment
  • physical activity power
  • energy expenditure
  • clinical, health, and sports fields
  • inverse dynamics and machine learning models, validation and reliability
  • biofeedback

Published Papers

This special issue is now open for submission.
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