BEN ALI, Boubaker; FRAJ, Chawki; OUESLATI, Olfa; DUGAS, Eric

doi:10.1002/eng2.12309

BEN ALI, Boubaker
Laboratoire Cultures, Éducation, Sociétés [LACES]

FRAJ, Chawki

OUESLATI, Olfa

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Article de revue

Ce document a été publié dans

Engineering Reports. 2020-12-23, vol. 2, n° 12

Résumé en anglais

Only a few research works have studied the risks involving young athletes in shooting activities such as noise and risk of projectile impact. Besides, limited studies have explored the environmental concerns caused by remaining projectile fragments scattered into the environment. In recent years, there has been an increasing interest in integrating computing, modeling, and IoT-based applications and used connected add-ons (e.g., steams Virtual Reality VR, virtual guns, and game controllers) in sports activities displayed in virtual reality gaming environments. The aim of this paper is, first, to present a multi-aspect Zigbee-based protocol system used to assess and to improve reaction time and score prediction abilities of Shotgun sports practitioners indoor and outdoor. Second, B-percept would be presented as a training solution to reduce environmental scattered wastes of used Clays. After 8 weeks of training, there was significant improvement (p < .001) of participants' reaction time by using the B-percept simulator. In addition, improvement in real clay shotgun results (p < .0002) but it was difficult to correctly predict more than 60% of correct scores after the test. The results of this study encourage continuing to improve the B-percept to use wireless moving targets for training purposes.< Réduire

Mots clés en anglais

B-percept

Environment

Shotguns sports training

URI

https://oskar-bordeaux.fr/handle/20.500.12278/171689

DOI

http://dx.doi.org/10.1002/eng2.12309

Unités de recherche

LACES : Laboratoire Cultures – Éducation – Sociétés - EA 7437

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Environmental impact and performance assessment of a new Zigbee-based shotgun training system

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Résumé en anglais

Mots clés en anglais

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