Wearables and Computer Vision for Sports Motion Analysis
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Wearables".
Deadline for manuscript submissions: closed (25 August 2022) | Viewed by 37003
Special Issue Editors
Interests: biomechanics; motion capture; motion analysis; virtual human simulation; virtual reality; virtual training; example-based simulation; sports performance analysis
Interests: wearable sensors; machine learning; activity recognition; inertial sensors; movement analysis; gait parameters estimation; automatic early detection of gait alterations; sports bioengineering; mobile health
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Being able to capture relevant information about sports performance is a key issue for many applications, such as providing relevant information for training, injury prevention, elite players selection, or enhancing the fan experience thanks to the augmented diffusion of competition. This type of data is also interesting for non-expert players who wish to follow their performance, provide personal physical or virtual trainers with relevant information, and share their experience with their social network. However, sports are highly complex compared to laboratory conditions: the lack of control of the experimental conditions plays a significant role in this field (especially weather, visual environment, potential magnetic disturbances, sweating, sensors displacements, no possibility to place specific equipment, etc.). With the recent developments in wearable sensors and devices, and the explosion of computer vision solutions based on deep learning, sports science based on human performance measurement is currently undergoing a revolution.
We would like to invite the academic and industrial research community to submit original research and review articles to this Special Issue of Sensors (Impact Factor = 3.576).
The scope of this Special Issue includes, but is not limited to, the following topics:
- New tracking methods to capture human body in sports condition;
- Robust video segmentation to track human body in sports condition;
- Data classification to facilitate/automatize performance annotation;
- New devices for human motion capture;
- New wearable solutions (including either hardware or computational methods) for human motion capture/analysis;
- Sensor fusion and machine learning methods applied to sport;
- Sports media enrichment using computer vision and wearable technologies;
- Image processing methods to analyze sports performance;
- Scientific feedback about experience using wearable and computer vision in real sports conditions.
Prof. Dr. Franck Multon
Dr. Andrea Mannini
Dr. Adnane Boukhayma
Guest Editors
Manuscript Submission Information
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Keywords
- Computer vision
- Wearable sensors
- Sensor fusion Machine learning
- Sports tracking for health and leisure
- In-field measurements
- Injury prevention
- Augmented reality
- Skill assessment
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