Insights on Research-based Approaches in Human Activity Recognition System

A. Lateef, U. Eranna
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引用次数: 3

Abstract

There has been increased proliferation of Human Activity Recognition system to be embedded in the different form of sensing technologies. With the faster advancement of novel features in the sensory application, the human activity can be used as a tool to either command the system from remote or could be used to perform sophisticated analysis of human behavior. Since last decade, there has been the volume of literature focusing on leveraging the identification process using different forms of research-based methodologies. However, it is quite evident that there is no benchmarked model and nor a signatory research work in this field that has been observed till date to be standardized among the research community. Hence, this paper investigates the fundamentals, different existing approaches, and loopholes associated with such approaches so that potential and impending problems associated with it can be distinctively explored. The paper contributes to the identification of some of the open research issues which need significant attention.
人类活动识别系统中基于研究方法的见解
人类活动识别系统已越来越多地嵌入到不同形式的传感技术中。随着传感应用中新功能的快速发展,人类活动可以用作远程命令系统的工具,也可以用于对人类行为进行复杂的分析。自过去十年以来,已经有大量的文献侧重于利用不同形式的基于研究的方法来利用识别过程。然而,很明显,迄今为止,在这一领域还没有一个基准模型,也没有一个签署国的研究工作在研究界被标准化。因此,本文研究了基本原理、不同的现有方法以及与这些方法相关的漏洞,以便有针对性地探索与之相关的潜在和迫在眉睫的问题。本文有助于识别一些需要重视的开放性研究问题。
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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