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Advanced Technologies for Enhancing Safety, Health, and Well-Being

This special issue belongs to the section “Assistive Technologies“.

Special Issue Information

Dear Colleagues,

The Special Issue aims to present cutting-edge research and comprehensive reviews exploring the latest technological innovations designed to improve human safety, health, and well-being. It seeks to highlight interdisciplinary efforts involving artificial intelligence, machine learning, wearable technologies, robotics, virtual and augmented reality, IoT systems, big data analytics, and advanced materials. Contributions will discuss theoretical and practical aspects, including system design, implementation, efficacy evaluations, ethical considerations, and regulatory implications.

Key topics of interest include but are not limited to predictive analytics for hazard prevention, smart wearable sensors for real-time health monitoring, autonomous systems for high-risk tasks, immersive technologies for training and behavioral change, technological advancements in protective gear, and ergonomic solutions to enhance human–technology interactions. The Special Issue will provide a valuable academic platform for scholars, industry experts, and policymakers to exchange knowledge, identify research gaps, and foster collaborations, ultimately driving forward innovative solutions that meaningfully improve safety and health across diverse environments.

Dr. Siu Shing Man
Dr. Alan H. S. Chan
Dr. Fangrong Chang
Dr. Li Liu
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 250 words) can be sent to the Editorial Office for assessment.

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. Technologies is an international peer-reviewed open access monthly 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 1600 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

  • occupational health and safety
  • road safety
  • mental health
  • rehabilitation
  • artificial intelligence
  • machine learning
  • wearable technology
  • Internet of Things
  • robotics and automation
  • virtual/augmented reality
  • ergonomics and human factors

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  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
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  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Published Papers

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Technologies - ISSN 2227-7080