Artificial Intelligence-Enabled System for Health and Biomechanical Monitoring II
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 20 November 2024 | Viewed by 52
Special Issue Editor
Interests: biomechanics of health disease and rehabilitation; industry engineering for medicine and high-level sport
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial Intelligence (AI) is anticipated to affect all spheres of life and play an indispensable role in various daily life activities. AI is known as the engineering of the future, and it is thought that the use of technology such as computers and algorithms will facilitate daily tasks as well as advanced assignments. AI-enabled systems can also be used to apply the principles of biomechanics to the study of human movement in rehabilitation and sports to quantitatively evaluate performance and reduce injury occurrence. The objective of this Special Issue is to generate a comprehensive understanding of AI and sensors in healthcare applications by quantifying the state of progress of AI in biomechanics. It will also highlight recent advances in diverse implementations in biomechanical monitoring. Authors are invited to submit outstanding and original, unpublished research focused on the latest findings in this field. Topics of interest include, but are not limited to, the following:
- Artificial intelligence for healthcare sensor data with applications;
- Artificial intelligence for healthcare sensing and monitoring;
- Biosensors;
- Biosensing techniques;
- Wearable devices;
- Sports biomechanics;
- Human movement analysis;
- Rehabilitation;
- Augmented humans;
- Wearable technologies;
- Modeling and simulation;
- Biological problems.
Prof. Dr. Redha Taiar
Guest Editor
Manuscript Submission Information
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Keywords
- artificial intelligence for healthcare sensor data with applications
- artificial intelligence for healthcare sensing and monitoring
- biosensors
- biosensing techniques
- wearable devices
- sports biomechanics
- human movement analysis
- rehabilitation
- augmented humans
- wearable technologies
- modeling and simulation
- biological problems
