Artificial Intelligence (AI) and Sensors in Sports Safety and NextGen Rehabilitation
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: 30 November 2024 | Viewed by 93
Special Issue Editors
Interests: sensors; sports safety; digital image processing; patterns recognition
Interests: computer science; image processing; pattern recognition
Special Issues, Collections and Topics in MDPI journals
2. Biomedical Research Institute of Malaga (IBIMA), 29590 Malaga, Spain
3. Faculty of Health Science, School of Clinical Science, Queensland University Technology, 4000 Brisbane, Australia
Interests: aquatic therapy; exercise; psychometrics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Sensors, sensing networks, artificial intelligence, and other new and advanced technologies determine the constant and quick changes of sport performances. Sensors can help to predict and prevent injuries in athletes by giving real-time data that can be used to find possible injury risks and take the proper steps to prevent or minimize injuries. Sensors and AI-based models predict and prevent injuries by providing real-time data that can be used to control fatigue, identify injury risks, track recovery progress, and change training programs to reduce the risk of injury. Nowadays, artificial intelligence is becoming a more disruptive technology in sports safety, sports physiotherapy, injury prevention, fatigue, and recovery control by providing performance sports personnel (coaches, trainers, and medical staff) with the tools they need to monitor athletes in real time, identify potential injury risks, and develop personalized training programs and treatment plans to maximize sports safety in a supportive but invisible manner. For this Special Issue, we are looking for articles on monitoring of workload, detection of movement patterns and irregularities, methods of identifying muscle imbalances, approaches to keeping track of the recovery phase, use of next-generation physiotherapy methods, models, and sensors, and concussions from wearable sensors or remote solutions.
Dr. Sándor Miklós Szilágyi
Dr. László Szilágyi
Prof. Dr. Antonio Ignacio Cuesta Vargas
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. 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.
Dr. László Szilágyi
Prof. Dr. Antonio Ignacio Cuesta Vargas
Dr. Sándor Miklós Szilágyi
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. 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
- predictive modeling
- injury diagnosis
- fatigue management
- biomechanical sensors
- virtual rehabilitation
- wearable sensors
- radar sensors
- concussion detection
- smart insoles
- EMG sensors
- movement sensors
