Engineering Human Performance: Advanced Monitoring and Intervention Technologies in Sports Science
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biomechanics and Sports Medicine".
Deadline for manuscript submissions: 31 May 2026 | Viewed by 87
Special Issue Editor
Interests: physical activity; performance; biomechanics; swimming; physiology; modelling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The integration of advanced technologies into sports science has ushered in a new era of precision, personalization, and performance optimization. The growing accessibility of digital tools—ranging from mechanical devices, wearable sensors, and motion capture systems to artificial intelligence, machine learning, and immersive technologies—has significantly enhanced the capacity to collect, analyze, and interpret complex physiological and biomechanical data. These developments have transformed not only how athletic performance is measured and understood but also the strategies employed to improve training efficiency, reduce injury risk, and promote long-term athlete development.
This Special Issue, “Engineering Human Performance: Advanced Monitoring and Intervention Technologies in Sports Science,” aims to showcase cutting-edge research that explores the intersection between technology and human performance. The rapid evolution of data-driven methodologies has facilitated new insights into athlete monitoring, workload management, and recovery processes. Concurrently, innovations in virtual and augmented reality, computer vision, and biofeedback systems are redefining athlete–coach interactions and skill acquisition paradigms. Collectively, these advances contribute to a more comprehensive and evidence-based understanding of human performance in competitive and recreational sport contexts.
We invite contributions that investigate the theoretical foundations, practical applications, and empirical validation of technology-enhanced approaches in sports science. Areas of interest include, but are not limited to, the following:
- Mechanical devices and wearable and sensor technologies for performance, physiological, or biomechanical monitoring;
- Artificial intelligence and machine learning applications in performance prediction and decision support;
- Computer vision and motion capture methods for movement analysis and feedback;
- Virtual, augmented, and mixed reality tools for training, rehabilitation, and skill acquisition;
- Data analytics and digital modeling for individualized training optimization;
- Technology-based approaches to injury prevention, recovery, and long-term athlete well-being.
By integrating interdisciplinary perspectives from sports science, engineering, data science, and human performance research, this Special Issue seeks to advance the theoretical and practical understanding of how technology can be effectively leveraged to support athlete development. The ultimate goal is to foster dialogue between researchers, practitioners, and technologists, thereby contributing to the continued evolution of evidence-based, technology-informed practice in sport.
Dr. Jorge Morais
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 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. Bioengineering 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 2700 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
- sports technology
- athlete development
- wearable sensors
- performance analysis
- biomechanics
- artificial intelligence
- machine learning
- data analytics
- virtual reality
- training optimization
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