Dear Colleagues,

This special issue solicits original research and review articles on recent advances in the development of technologies to record and analyze motion of the human body and neurophysiological signals. In particular, motion analysis is used in a many clinical disciplines and discovery science fields but remains dominated by 3D kinematic motion capture using optical markers. Recent advances in body-worn sensor technology and open-source machine learning libraries have fundamentally changed what is possible in the field. This special issue will highlight novel technology applications in clinical and discovery science fields concerned with sensing human body motion, including biomechanics, neuromechanics, kinesiology, rehabilitation, and mobile health.

Topics of interest include but are not limited to:

• Applications of body-worn sensors for motion analysis in clinical and healthy populations
• Applications of computer vision and/or deep learning approaches for motion analysis in clinical and healthy populations
• Supervised and unsupervised motion analysis for “digital diagnostics”
• Shallow and deep learning classification of gait or postural abnormalities and/or response to therapies
• Recent applications of wearables and other remote monitoring in mobile health
• Descriptions of novel publicly-available datasets
• Studies addressing kinematic or kinetic hypotheses conducted using publicly-available datasets
• Novel hardware technologies for applications such as those above
• Novel analytical or statistical approaches for data streams generated in applications such as those above

Pilot, feasibility, or nonrandomized intervention studies will be given full consideration provided that they follow established guidelines (Thabane, L., Ma, J., Chu, R. et al. A tutorial on pilot studies: the what, why and how. BMC Med Res Methodol 10, 1 (2010). https://doi.org/10.1186/1471-2288-10-1). Pre-submission inquiries will be happily considered by the 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.

• Gait
• Posture
• Rehabilitation
• Pharmacotherapy
• Inertial measurement unit
• Biomechanics
• Neuromechanics
• Movement disorders