Special Issue "Movement Analysis 4.0"
Deadline for manuscript submissions: 30 December 2023 | Viewed by 4897
Interests: sport physiology; movement analysis; electromyography; kinesiology; neuromuscular physiology; machine learning
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The fourth industrial revolution brought challenges and opportunities to foster the monitoring of health, wellbeing, and performance through movement analysis. The technology advances in big data processing and tracking systems, associated with Industry 4.0, enable more accurate and reliable kinesiological analysis, enhancing digital solutions for both decision-making and real-time products.
Movement data are usually acquired through 3D kinematic motion systems, accelerometers, gyroscopes, force sensors and dynamometers, force platforms, electromyography, and computational systems. These data can be used by several research fields to analyze motor tasks associated with leisure activities, sports, occupational risk, aging, clinical status, and disease, among others. Machine learning and deep learning algorithms can be applied to modeling movement in different domains for processing, diagnosis, and forecasting. The main purpose is to measure the multidimensional interactions between the individual and the environment to provide more precise guidelines for prevention and intervention.
The aim of this Special Issue is to contribute with research articles that apply methodologies of movement analysis in fields such as sports, occupational risk, aging, and disease. Consequently, it is expected to provide fundamental information and monitoring tools to support the decision of coaches, physiotherapists, physicians, ergonomists, and other health professionals to prevent injury, evaluate, and eventually enhance health, performance, and wellbeing.
Dr. Luís Silva
Dr. Cátia Cepeda
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. Journal of Functional Morphology and Kinesiology is an international peer-reviewed open access quarterly 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 1600 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.
- digital transformation
- three-dimensional computational systems
- inertial movement unit
- wearable systems
- movement analysis
- gait analysis
- artificial intelligence
- motor disorders
- sport skills
- injury prevention