Special Issue "Wearable Sensors and Artificial Intelligence for Ergonomics—2nd Edition"

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Point-of-Care Diagnostics and Devices".

Deadline for manuscript submissions: 30 September 2023 | Viewed by 125

Special Issue Editors

Department of Advanced Medical and Surgical Sciences, University of Campania “Luigi Vanvitelli”, Piazza Luigi Miraglia, 2, 80138 Naples, Italy
Interests: biomedical engineering; biosignal and bioimage processing; ergonomics; rehabilitation engineering, gait analysis, wearable sensors; telemedicine; machine learning; biostatistics
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Department of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy
Interests: machine learning; statistics; gait analysis; health technology assessment; lean six sigma; biomedical engineering
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Department of Chemical, Materials and Production Engineering, University of Naples Federico II, Piazzale Tecchio 80, 80125 Naples, Italy
Interests: biomedical engineering; bioengineering; biomedical data analysis; biomedical signal processing; drug delivery systems; biomaterials; polymer microparticles; lean six sigma in healthcare
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Special Issue Information

Dear Colleagues,

Ergonomics can contribute to maximizing human wellbeing and the efficiency of a working system safeguarding workers’ health. The development of wearable sensors, which are able to collect a wide variety of relevant physiological and environmental parameters, allows for acquiring signals related to the workers in a nonintrusive, automatic and continuous way. Data can be acquired through both custom-made devices (namely, ad hoc ones developed by scientific researchers) and commercial wearable devices. The availability of instruments (such as wearable motion trackers, inertial measurement units, pressure sensors, eye- and face-expression-tracking devices and smart sensors for temperature, breathing, electrocardiography, electroencephalography, electromyography and electrodermal activity) offers a wide perspective for novel solutions in the ergonomic field.

On the other hand, the number of proposed techniques for data processing and analysis increases every day. Newer approaches using deep-learning and classical machine-learning techniques to assess the potential biomechanical risk to which workers are exposed during their work activities are also gaining significant interest in the ergonomic field.

Consequently, this Special Issue (“Wearable Sensors and Artificial Intelligence for ErgonomicsVolume 2”) aims to both highlight several of the latest developments in the ergonomic/occupational medicine fields and gather proposals which can help delineate a novel emerging branch which considers wearable sensors a tool for biomechanical risk assessment and injury prevention—even through the help of artificial intelligence—during work-, home-, sport- and leisure-related activities. Both research papers and review articles will be considered for publication. We welcome submissions spanning topics across the design of novel sensors and commercial wearable technologies and the development of any novel methodology which aims to integrate quantitative physiological and environmental information—with and without the use of artificial intelligence—as those are the main goals of ergonomics.

Topics of interest include, but are not limited to, the following application fields for machine learning:

  • Ergonomics and occupational medicine
  • Wearable sensors, motion sensors, force/pressure sensors, EMG sensors for ergonomics
  • Sensors for wellbeing
  • Smart clothes and e-textiles for ergonomic applications
  • Activity-monitoring devices and systems
  • Machine learning and deep learning for wearable data analysis
  • Biomechanical risk assessment
  • Health monitoring in working environments
  • Work-related musculoskeletal disorders
  • Novel design approaches for ergonomic assessment
  • mHealth and/or eHealth solutions for ergonomics
  • Data processing applied to risk assessments

Dr. Leandro Donisi
Dr. Carlo Ricciardi
Dr. Alfonso Maria Ponsiglione
Dr. Giuseppe Cesarelli
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.

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. Diagnostics 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.


  • medical diagnosis
  • ergonomics
  • occupational medicine
  • biomedical signal processing
  • biomechanics
  • human-activity recognition
  • inertial measurement units and sensors for IoT
  • feature extraction
  • lifting
  • machine learning
  • modeling and simulation
  • neural networks

Published Papers

This special issue is now open for submission.
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