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

Abstract

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.

Comprehensive Performance Analysis of Zigbee Communication: An Experimental Approach with XBee S2C Module

“…Rao et al also used the Riverbed simulator to analyze the performance of different topologies of Zigbee and concluded that cluster tree performs better in scenarios where the larger network coverage is needed [37]. Few other research works on the Zigbee performance analysis are stated in [38][39][40]. The discussed research works are summarized in Table 2.…”