Application of Machine Vision in Biomechanical Engineering
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Industrial Technologies".
Deadline for manuscript submissions: 20 April 2026 | Viewed by 31
Special Issue Editor
Special Issue Information
Dear Colleagues,
The convergence of artificial intelligence and advanced imaging technologies is revolutionizing the landscape of experimental mechanics. Nowhere is this impact more profound than in biomechanical engineering, where analyzing complex, dynamic, and often subtle biological interactions requires precise and adaptable tools. Machine vision provides non-invasive, data-rich methodologies that can be adopted to overcome the limitations of traditional sensors, enabling an unprecedented quantification of motion, deformation, and force in biological systems. This is critical for progress in various areas, ranging from personalized rehabilitative devices and surgical robotics to the fundamental study of cellular mechanics and soft tissue biomechanics.
We would like to invite you to contribute to this Special Issue, which aims to disseminate innovative research that demonstrates the transformative role of visual intelligence in solving complex biomechanical challenges. We seek to foster a multidisciplinary dialogue that bridges computer science, mechanical engineering, and life sciences.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Human movement analysis and gait lab automation;
- Medical image analysis for tissue mechanics;
- Surgical robotics and assistance;
- Biomechanics of cells and biomaterials.
We look forward to receiving your contributions.
Prof. Dr. Ying Yi
Guest Editor
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Keywords
- machine vision
- biomechanical engineering
- motion capture
- medical image analysis
- surgical robotics
- biomechanics
- computer vision
- deep learning
- human movement analysis
- tissue mechanics
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