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Sensor Technology for Improving Human Movements and Postures: 3rd Edition

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

Deadline for manuscript submissions: 15 December 2025 | Viewed by 408

Special Issue Editors

School of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong, Wollongong, NSW 2522, Australia
Interests: rehabilitation engineering; technology for elderly people; human movement; postural control; prosthetics; orthotics
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Guest Editor
School of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong, Wollongong, NSW 2522, Australia
Interests: motion control; robotics and biomectronics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Sensor technology can be used to measure movements and postures. Such measurements can potentially improve musculoskeletal health, leading to better quality of life in areas of gerontology, physical rehabilitation, sports, and occupations requiring physical movements or prolonged static postures. For example, sensors can be used to

  • Assist or encourage walking and prevent falls of older adults;
  • Enable exoskeletal or robotic devices to improve mobility in people with neuro-musculoskeletal disorder;
  • Detect sport-specific movements to improve sports performance and reduce injury risk;
  • Improve occupational biomechanics and ergonomics.

Examples of sensors include accelerometers, gyroscopes, magnetometers, and force sensors. They can be wearable or laboratory-based.

This Special Issue focuses on the developments, uses, and/or outcome measurements of sensor technology, including wearable sensors with or without biofeedback, lab-based sensing systems for forces and motions, biorobotic sensors, and smart prosthetic and orthotic devices, which ultimately aim to improve human movements and/or sport performance. Original research and review papers in these areas are encouraged.

Dr. Winson Lee
Dr. Emre Sariyildiz
Guest Editors

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.

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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 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

  • wearable sensors
  • robotic sensors
  • motion analysis
  • rehabilitation
  • aging
  • sports and injury

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Published Papers (1 paper)

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Research

17 pages, 5560 KiB  
Communication
Leveraging Sensor Technology to Characterize the Postural Control Spectrum
by Christopher Aliperti, Josiah Steckenrider, Darius Sattari, James Peterson, Caspian Bell and Rebecca Zifchock
Sensors 2024, 24(23), 7420; https://doi.org/10.3390/s24237420 - 21 Nov 2024
Viewed by 160
Abstract
The purpose of this paper is to describe ongoing research on appropriate instrumentation and analysis techniques to characterize postural stability, postural agility, and dynamic stability, which collectively comprise the postural control spectrum. This study had a specific focus on using emerging sensors to [...] Read more.
The purpose of this paper is to describe ongoing research on appropriate instrumentation and analysis techniques to characterize postural stability, postural agility, and dynamic stability, which collectively comprise the postural control spectrum. This study had a specific focus on using emerging sensors to develop protocols suitable for use outside laboratory or clinical settings. First, we examined the optimal number and placement of wearable accelerometers for assessing postural stability. Next, we proposed metrics and protocols for assessing postural agility with the use of a custom force plate-controlled video game. Finally, we proposed a method to quantify dynamic stability during walking tasks using novel frequency-domain metrics extracted from acceleration data obtained with a single body-worn IMU. In each of the three studies, a surrogate for instability was introduced, and the sensors and metrics discussed in this paper show promise for differentiating these trials from stable condition trials. Next steps for this work include expanding the tested population size and refining the methods to even more reliably and unobtrusively characterize postural control status in a variety of scenarios. Full article
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