使用可穿戴技术分析运动的活动识别

Anil Sharma, Thair Al-Dala’in, Ghossoon Alsadoon, Ali A. Alwan
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引用次数: 4

摘要

活动识别和性能提升是可穿戴技术设备面临的主要问题。因此,在本文中,我们提出了一项探索性研究,以检查和评估可穿戴技术用于运动活动识别分析的当前问题。这些问题可以通过使用刺激信号、数据识别和分析以及物理测试等组件实现高传感器和WSN技术来控制。该研究利用了基于可穿戴技术的经过验证的分类法,旨在使用有效的技术。从不同的来源收集了原始和处理过的数据。研究表明,以往的研究存在很大的差距,大多数研究只调查了运动活动识别可穿戴技术分析的一些组成部分,这使得目前的研究人员效率低下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of Wearable Technologies for Analysis of Activity recognition for sports
Activity recognition and enhance performance are the major issues that are faced by wearable technology devices. Therefore, in this paper, we present an exploratory study to examine and evaluate the current issues with wearable technology for analysis of activity recognition for sports. These issues can be controlled by implementing a high sensor and WSN technologies using components such as– Stimuli signal, Data recognition and analysis, and Physical testing. The study utilised the verified taxonomy based on wearable technology, which aims to use effective technology. Raw and processed data has been gathered from different sources. The study shows that there is a major gap in the previous research studies and most of the studies only investigated some of the component of the Wearable Technologies for Analysis of Activity recognition for sports which make it inefficiency for current researchers.
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