Chers collègues,
la revue openaccess Sensors de MDPI a lancé un numéro spécial sur « Wearables and Computer Vision for Sports Motion Analysis », avec une deadline le 15 février. C’est un processus au cours du temps, avec une publication elle aussi au cours du temps, jusqu’à la deadline. Ainsi, si vous soumettez aujourd’hui et êtes acceptés dans un mois, votre papier est immédiatement publié, sans attendre le 15 février. Si vous avez donc des contributions dans le domaine des objets connectés pour le sport, ou sur la vision par ordinateur appliquée au sport, n’hésitez pas à soumettre vos articles qui pourront paraître rapidement s’ils sont acceptés.
Il est possible de négocier un « discount » sur les frais de publication, n’hésitez pas à me contacter si nécessaire.
Ci-dessous, l’appel à contributions, en anglais, et le site web :
https://www.mdpi.com/journal/sensors/special_issues/wear_vision_sport
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
