利用计算机视觉识别智能教室中的人类事件:系统性文献综述

IF 0.7 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING
M. L. Córdoba-Tlaxcalteco, E. Benítez-Guerrero
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引用次数: 0

摘要

摘要 利用智能环境中的视觉数据进行人类事件识别领域已成为一个富有成果的成功研究领域,广泛的研究和开发工作推动了这一领域的重大进展。这些进展不仅提供了有价值的见解,还促成了在各个领域的实际应用。在这种情况下,人类的行动、活动、互动和行为都可以被视为智能环境中的相关事件。然而,在智能教室方面,人们对 "人类事件 "的定义缺乏统一的共识。这种缺乏共识的情况给教育工作者、研究人员和开发人员带来了巨大的挑战,因为这阻碍了他们精确识别和分类教育环境中相关特定情况的能力。本文旨在通过对智能教室中的相关事件进行系统的文献综述来应对这一挑战,重点关注其在辅助技术中的应用。该综述全面分析了从 2012 年到 2022 年发表的 227 篇文献。它深入探讨了智能环境中基于视觉的事件识别的关键算法、方法和应用。作为主要成果,综述确定了最重要的事件,并根据单人行为、多人交互或物人交互对其进行了分类。论文还探讨了这些事件在教育领域的实际应用。论文最后讨论了智能教室中基于视觉的人类事件识别的相关性和实用性,尤其是在后 COVID 时代。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Human Event Recognition in Smart Classrooms Using Computer Vision: A Systematic Literature Review

Human Event Recognition in Smart Classrooms Using Computer Vision: A Systematic Literature Review

Abstract

The field of human event recognition using visual data in smart environments has emerged as a fruitful and successful area of study, with extensive research and development efforts driving significant advancements. These advancements have not only provided valuable insights, but also led to practical applications in various domains. In this context, human actions, activities, interactions, and behaviors can all be considered as events of interest in smart environments. However, when it comes to smart classrooms, there is a lack of unified consensus on the definition of the term “human event.” This lack of agreement presents a significant challenge for educators, researchers, and developers, as it hampers their ability to precisely identify and classify the specific situations that are relevant within the educational context. The aim of this paper is to address this challenge by conducting a systematic literature review of relevant events in smart classrooms, with a focus on their applications in assistive technology. The review encompasses a comprehensive analysis of 227 published documents spanning from 2012 to 2022. It delves into key algorithms, methodologies, and applications of vision-based event recognition in smart environments. As the primary outcome, the review identifies the most significant events, classifying them according to single person behavior, or multiple-person interactions, or object-person interactions. It also examines their practical applications within the educational context. The paper concludes with a discussion on the relevance and practicality of vision-based human event recognition in smart classrooms, particularly in the post-COVID era.

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来源期刊
Programming and Computer Software
Programming and Computer Software 工程技术-计算机:软件工程
CiteScore
1.60
自引率
28.60%
发文量
35
审稿时长
>12 weeks
期刊介绍: Programming and Computer Software is a peer reviewed journal devoted to problems in all areas of computer science: operating systems, compiler technology, software engineering, artificial intelligence, etc.
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