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Smart Sensors for Ergonomics and Assisted Robotics Applications

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

Deadline for manuscript submissions: 20 April 2025 | Viewed by 843

Special Issue Editor


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Guest Editor
Department of Mechanical Engineering, École de Technologie Supérieure, Montreal, QC H3C 1K3, Canada
Interests: agricultural health and safety; occupational health risk assessment; biomedical signal processing; ergonomics; wearable sensors; exoskeleton
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

As we stand at the forefront of technological innovation, smart sensors and assisted robotics are becoming increasingly pivotal in ergonomic assessment and interventions. The application of these technologies is transforming our approach to health monitoring, wearable devices, and biomedical engineering, opening new avenues for improving human–machine interaction and personal well-being.

This Special Issue on "Smart Sensors for Ergonomics and Assisted Robotics Applications" seeks to gather original research and groundbreaking work in developing, integrating, and applying smart sensors within these domains. We are particularly interested in contributions that explore the use of smart sensors in: 

  • Enhancing ergonomic designs for improved workplace safety and efficiency.
  • Advancing assisted robotics, with a focus on rehabilitation robotics for patient care.
  • Innovating in health monitoring through smart wearable technology.

This collection aims to cover a broad spectrum of related topics, including, but not limited to:

  • Ergonomics;
  • Assisted Robotics;
  • Rehabilitation Robotics;
  • Smart Sensors;
  • Health Monitoring;
  • Wearable Technology;
  • Biomedical Engineering.

Prof. Dr. Ornwipa Thamsuwan
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.

Keywords

  • ergonomics
  • assisted robotics
  • rehabilitation robotics
  • smart sensors
  • health monitoring
  • wearable technology
  • biomedical engineering

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Published Papers (1 paper)

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Review

35 pages, 607 KiB  
Review
Effectiveness of Sensors-Based Augmented Feedback in Ergonomics to Reduce Adverse Biomechanical Exposure in Work-Related Manual Handling—A Rapid Review of the Evidence
by Carl M. Lind
Sensors 2024, 24(21), 6977; https://doi.org/10.3390/s24216977 - 30 Oct 2024
Viewed by 594
Abstract
Manual handling is a major risk factor for work-related musculoskeletal disorders and one of the leading causes of disability-adjusted life years globally, necessitating multifaceted risk reduction measures. One potential intervention for manual handling tasks is work technique training assisted by augmented feedback on [...] Read more.
Manual handling is a major risk factor for work-related musculoskeletal disorders and one of the leading causes of disability-adjusted life years globally, necessitating multifaceted risk reduction measures. One potential intervention for manual handling tasks is work technique training assisted by augmented feedback on biomechanical exposures. However, there is a research gap regarding its effectiveness specifically for manual handling tasks in both real work environments and controlled settings, as well as its ability to induce retained reductions in biomechanical exposure. The gap was investigated using a rapid review comprising a literature search using two databases and 11 reviews/overviews to identify studies from the past 20 years, up to studies published by 1 June 2024. Sixteen studies were identified, with 14 of them being of high or moderate methodological quality and were included. Three studies were conducted in real work environments and eleven in controlled settings. Most studies (n = 9) used auditory feedback, followed by vibration feedback (n = 6). In real work environments, the evidence for the effectiveness of sensor-based augmented feedback in reducing biomechanical exposure during administration was considered to be inconsistent and very limited directly after administration. For longer periods after administration, ranging from one week to more than six months, there is currently no evidence demonstrating the effectiveness of the feedback. In controlled settings, there was strong evidence for its effectiveness during and immediately after administration, and limited evidence for effectiveness up to six months post-administration when considering the tasks included in the training. Future research needs are discussed. Full article
(This article belongs to the Special Issue Smart Sensors for Ergonomics and Assisted Robotics Applications)
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