Machine Learning Application in Human Motion Tracking
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".
Deadline for manuscript submissions: closed (20 June 2022) | Viewed by 4046
Special Issue Editors
Interests: eHealth; biomedical engineering; computer games for health; biofeedback
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; real-time signal processing; image analysis; object detection and tracking
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent systems; neural networks; cyber-security; visualization and simulation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Machine learning plays an important role in current innovative technology spread across different industry and research areas. Among the wide variety of machine learning models, the more user friendly implementations make it possible to use them in embedded, cloud-based or PC-based systems. An increasing interest in machine-learning-based algorithm support for various biomechanical systems (e.g. motion tracking, parametric analysis of rehabilitation progress), healthy lifestyle applications (e.g. virtual assistant, virtual coach), biomedical and other systems opens new perspectives for more powerful and efficient data analysis and processing. However, each specific application introduces individual challenges for machine-learning-based methods. This Special Issue is an opportunity for researchers to share their methods of solving complex issues during investigations in biomechanics, healthy lifestyle and biomedical applications.
Prof. Dr. Begoña Garcia-Zapirain
Prof. Dr. Artūras Serackis
Prof. Dr. Adel S. Elmaghraby
Guest Editors
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