基于视觉的室内HAR的审查:最先进的技术,挑战和未来的前景
Geetanjali Bhola1, Dinesh Kumar Vishwakarma1
1Biometric Research Laboratory, Department of Information Technology, Delhi Technological University, Bawana Road, Delhi, 11042 India.
概括
本调查详细介绍了室内人类活动识别 (HAR) 使用基于视觉的系统. 它涵盖了最新的方法,挑战,数据集和智能家居和医疗保健应用的未来研究方向.
科学领域:
- 计算机视觉 计算机视觉
- 人工智能的人工智能
- 人与计算机的交互
背景情况:
- 在日常生活中越来越多地使用小工具和人工智能.
- 基于视觉的传感器为实时挑战提供解决方案.
- 室内人类活动识别 (HAR) 对于智能家居,老年护理和行为分析至关重要.
研究的目的:
- 为室内人类活动识别 (HAR) 提供全面的调查.
- 突出最近的方法,挑战和现实世界的应用.
- 提出一个分类学,并确定室内HAR的未来研究前景.
主要方法:
- 详细审查关于室内哈尔的现有文献.
- 分析各种方法及其性能指标.
- 讨论可用的数据集及其技术规格.
主要成果:
- 确定室内HAR的关键趋势和进展.
- 通过拟议的分类学来对方法进行分类.
- 突出目前调查的研究差距和局限性.
结论:
- 室内HAR是一个快速发展的领域,具有重要的工业兴趣.
- 需要进一步的研究来应对现有的挑战,并探索新的应用.
- 这项调查为室内HAR的研究人员和从业者提供了宝贵的资源.
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