Applications of Wearable Sensors in Healthcare, Rehabilitation and Sports Biomechanics

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Biomedical Engineering".

Deadline for manuscript submissions: 25 December 2024 | Viewed by 148

Special Issue Editors


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Guest Editor
School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland 1142, New Zealand
Interests: artificial intelligence; image processing; computer vision; human movement; sports sciences
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland 1010, New Zealand
Interests: smart patient monitoring; artificial intelligence; biomedical signal and image processing; embedded and reconfigurable systems

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Guest Editor
Computer Science and Software Engineering, Auckland University of Technology, Auckland 1010, New Zealand
Interests: advanced AI development in neuroinformatics; neuromarketing; bioinformatics and cognitive computation

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Guest Editor
Department of Computer Science and Software Engineering, Auckland University of Technology, Auckland 1010, New Zealand
Interests: digital health technologies and applications; IoT; AI and data science
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Integrating sensors with the latest AI, data communications, mobile, video and processing infrastructures can provide insights from data sources captured beyond the cognitive ability of a healthcare specialist, rehabilitation expert or coach.

During the recent pandemic and lockdowns, the importance of physical activity has been highlighted. We have become more aware of how leading an active lifestyle improves quality of life, longevity, and overall well-being, as well as reducing the risks of chronic and non-communicable diseases.

Though applications of wearable and equipment-attached sensors are becoming increasingly sophisticated, there are many multi-disciplinary opportunities for advancement. These include increasing usability and operational robustness, generating comprehensive and personable feedback, improving data streaming, and enhancing processing infrastructures. There is also room to address issues such as vendor locking and reliance on proprietary systems that do not provide access to raw data or properly address the need for privacy preservation, empowering end-users to take control over their data sharing, and securing personal data to remain within the oversight of local data protection laws.

This Special Issue of the Applied Sciences journal aims to provide a platform to share the latest research on applications of wearable sensors in healthcare, rehabilitation, and sports biomechanics. Some potential themes and topics include the following:

  • Applications of sensor technology and privacy preservation to
    • Enhance the quality of life of people living on their own, while preserving their privacy.
    • Promote graceful ageing.
    • Support sport and recreational activities.
    • Enhance sport performance.
    • Augment ‘feel’ and proprioceptive ability.
    • Reduce rehabilitation times to return to regular work or sport activity.
  • AI applications for multimodal sensor signal processing and technology to
    • Enhance motor skills or accelerate skills (re)acquisition (e.g. after incidents or medical intervention).
    • Improve specific performance and safety objectives of a targeted activity.
    • Provide skill-level assessment and stylistic performance judgments.
  • The usability of sensor technology in healthcare, rehabilitation, and sport science, for example, to
    • Motivate users to adopt a healthy lifestyle.
    • Remove obstacles to enjoying the benefits of sensor technologies in daily lives.
    • Support team sports decisions and talent scouting.
  • The development of open-source and consumer-grade sensors and systems, e.g.,
    • Applications of open-source sensor technology, system integration and access to non-proprietary data or data streaming. Sensor technology applications to reduce inequality and improve accessibility for the global population.
    • Open-source community initiatives to accelerate the development of technology adoption from proof-of-concepts to validation studies.
    • Sustainability and e-waste reduction. Repurposing or re-inventing ways to use consumer-grade or near-obsolete technology for healthy living and active lifestyles.
  • Analytical platforms for large (multimodal) data streams processing, including
    • Locally controlled data governance and analytical platforms e.g. to improve efficiency and efficacy of rehabilitation services or general healthcare systems.
    • AI and data analytics applications to prevent, monitor, diagnose, treat and cure diseases.
    • AI and multimodal sensor technology to support neurorehabilitation or rehabilitation (e.g. in terms of adherence to an exercise regime), while preserving privacy and allowing personalised feedback and/or intervention.

Dr. Boris Bačić
Prof. Dr. Hamid GholamHosseini
Dr. Maryam Doborjeh
Dr. Samaneh Madanian
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. Applied Sciences 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 2400 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
  • biosensors
  • sport equipment sensors
  • equipment attached sensors
  • explainable AI
  • multimodal signal processing
  • video, image, and sensor signals
  • human activity recognition (HAR)
  • human activity modelling and analysis (HAMA)
  • human motion modelling and analysis (HMMA)

Published Papers

This special issue is now open for submission.
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