IoT device for Athlete's movements recognition using inertial measurement unit (IMU)

Nidhal Hadj Abdallah, Raouf Brahim, Y. Bouslimani, M. Ghribi, A. Kaddouri
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引用次数: 3

Abstract

In modern sports training, collection, acquisition, and analysis of data concerning the athlete's activities are a necessity to improve trainings. This paper presents a new wearable IoT device, capable of monitoring athletes' movements in real time. The collected data are of a great importance for training sessions and improvement of athlete's performances. The proposed wearable device located on the athletes' wrist is an inertial sensing module that connects to Wi-Fi and sends information about Athlete activities. This paper presents also an electrical design proposed for such connected device using an inertial measurement unit (IMU) as a sensor. Furthermore, this article investigates different IoT communication technologies and protocol used for securing data transmission. An application was developed for data visualization and for activities classification. The application allows to remotely view the athletes' movement corresponding signals and detect the associated activity. The experimental results of this research show that the developed system is able to identify several activities of players during their training with a high success rate.
基于惯性测量单元(IMU)的运动员运动识别物联网设备
在现代运动训练中,对运动员运动数据的收集、获取和分析是提高训练质量的必要条件。本文提出了一种新型的可穿戴物联网设备,能够实时监控运动员的运动。所收集的数据对训练课程和运动员成绩的提高具有重要意义。该可穿戴设备位于运动员的手腕上,是一个惯性传感模块,可以连接Wi-Fi并发送有关运动员活动的信息。本文还提出了一种使用惯性测量单元(IMU)作为传感器的连接装置的电气设计方案。此外,本文还研究了用于保护数据传输的不同物联网通信技术和协议。开发了用于数据可视化和活动分类的应用程序。该应用程序允许远程查看运动员的运动相应信号并检测相关活动。本研究的实验结果表明,所开发的系统能够识别球员在训练过程中的多种活动,并且成功率很高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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