Sensors and Artificial Intelligence in Gait and Posture Analysis
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 31 August 2024 | Viewed by 721
Special Issue Editor
2. Department of Physical Therapy, Miller School of Medicine, University of Miami, Coral Gables, FL, USA
3. Department of Industrial & Systems Engineering, College of Engineering, University of Miami, Coral Gables, FL, USA
Interests: gait analysis; musculoskeletal modeling; marker-less motion capture; machine learning
Special Issue Information
Dear Colleagues,
A variety of technologies have been developed to obtain spatiotemporal or kinematic parameters during gait and posture analysis, including integrated optical systems, inertial measurement units (IMUs), markerless systems, and instrumented walkways. Additionally, the use of AI utilizing video inputs for 2D and 3D human pose estimation has expanded rapidly in the computer vision community from early pose estimation frameworks to contemporary deep-learning-based approaches.
This Special Issue of the journal Sensors, entitled “Sensors and Artificial Intelligence in Gait and Posture Analysis”, will focus on publishing research works related to the use of sensors and/or artificial intelligence (AI) in gait and posture analysis and its wide applications in young and elderly populations, including both healthy patients and those with injuries (such as ACL injury) or various neurological disorders (such as Parkinson’s disease, stroke, and cerebral palsy).
Therefore, this Special Issue aims to shed the light on the significant impact of the innovative use of sensors and AI in areas such as gait analysis and classification, fall detection, and injury prevention.
Dr. Moataz Eltoukhy
Guest Editor
Manuscript Submission Information
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Keywords
- gait
- biomechanics
- marker-less motion capture
- machine learning
- Parkinson’s disease
- stroke
- ACL
- balance
- posture
- IMU
