A Zigbee-based System for Simulating, Training and Measuring Visual Reaction Time in Shotgun Sport

Ali, Boubaker Ben; Taktak, Heni; Fraj, Chawki; Oueslati, O.; Dugas, Éric

doi:10.1109/ceap.2019.8883474

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…The B-percept® system has already been tested and validated as reaction time and decision-making measuring process for several sensorial stimuli on sportsmen, sedentary participants, students, high-level shooting athletes [14,15]. However, in future investigations, it might be possible to use B-percept® in a wider context where outcomes in the field of medicine, rehabilitation, disability or even training in specific task professions (military, conduct of machines, etc.…”

Section: Discussionmentioning

confidence: 99%

Assessment of Attention-Deficit using a Dynamic-body Electronic Testing System

Dugas

2020

RMES

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Section: Discussionmentioning

confidence: 99%

Assessment of Attention-Deficit using a Dynamic-body Electronic Testing System

Dugas

2020

RMES

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

Ali

Fraj

Oueslati

et al. 2020

Engineering Reports

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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.

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RETRACTED: Visual management of sports training based on embedded wearable devices and machine vision

Tang

2021

Microprocessors and Microsystems

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A Zigbee-based System for Simulating, Training and Measuring Visual Reaction Time in Shotgun Sport

Cited by 3 publications

References 17 publications

Assessment of Attention-Deficit using a Dynamic-body Electronic Testing System

Assessment of Attention-Deficit using a Dynamic-body Electronic Testing System

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

RETRACTED: Visual management of sports training based on embedded wearable devices and machine vision

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