Advances in the Functional Evaluation and Biomechanics of the Human Movement

Dear Colleagues,

The most modern measurement techniques have enabled the development of novel and advanced functional evaluation methods. Thanks to these techniques, it is now possible to accurately and quantitatively describe the performance of many motor tasks. These methods find important applications in many fields, from rehabilitation medicine, follow-up, and analytical biomechanics to sport science and performance improvement. Such techniques involve the use of advanced instrumentation and hardware, such as optoelectronic systems, integrated sensor systems, metabolic consumption, and various wearable technologies.

The advances in data processing techniques have played an important part in the quality and usability of the information obtained from such measurements. Modern machine learning methods and the most advanced statistical techniques may provide some very powerful tools for data classification, the automated identification of abnormal patterns, support for the diagnosis of motor disorders, and the scoring of motor performance.

The current research is moving towards novel methodologies aiming to: (i) simplify the data collection procedures from the clinical point of view; (ii) increase the accuracy and reliability of the measurements; (iii) identify reliable functional evaluation methods; (iv) increase the knowledge about motor-related pathologies and the effect of treatments.

The idea behind this Special Issue is to create a collection of high-quality papers concerning the state-of-the-art methods and findings in the field of motion analysis, biomechanics, sensors, and data processing.

Methodological papers, observational/experimental studies, and clinical applications in the form of original research and review articles are open for submission to this Special Issue.

Precedence will be given to papers presenting innovative results in the following topics: biomechanics, comfort, ergonomics, human motion analysis, performance evaluation, occupational medicine, rehabilitation medicine, work-related injuries, modern measurement techniques, sensors and sensor systems, wireless sensor networks, data processing methods, machine learning and artificial intelligence applied to human performance, clinical information systems and data storage, and digital healthcare.

Papers concerning topics not previously listed but related to them may also be considered.

You may choose our Joint Special Issue in IJERPH.

Dr. Andrea Ancillao
Guest Editor

Manuscript Submission Information

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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.

• biomechanics
• functional evaluation
• protocols
• data analysis
• machine learning
• artificial intelligence
• gait analysis
• human motion analysis
• motion capture
• inertial sensors
• human performance
• rehabilitation
• wearable sensors
• modeling
• simulation
• measurement systems
• biomechanical analysis
• strength of materials
• force analysis
• strength analysis
• novel technologies