Movement Analysis 4.0
A special issue of Journal of Functional Morphology and Kinesiology (ISSN 2411-5142). This special issue belongs to the section "Physical Exercise for Health Promotion".
Deadline for manuscript submissions: closed (30 December 2023) | Viewed by 13260
Special Issue Editors
Interests: sport physiology; movement analysis; electromyography; kinesiology; neuromuscular physiology; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
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
Guest Editors
Manuscript Submission Information
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Keywords
- digital transformation
- three-dimensional computational systems
- inertial movement unit
- electromyography
- wearable systems
- movement analysis
- gait analysis
- kinesiology
- biofeedback
- artificial intelligence
- ergonomics
- aging
- motor disorders
- sport skills
- injury prevention
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