人类活动识别的盲目模式
Julian Strohmayer1, Martin Kampel1
1Vienna University of Technology, Computer Vision Lab, Austria.
Studies in health technology and informatics
|August 28, 2023
概括
这项研究探讨了人类活动识别 (HAR) 模式,突出了像雷达和WiFi这样的新兴非接触式传感器,作为自动化应用中传统光学方法的隐私保护替代品.
科学领域:
- 计算机科学 计算机科学
- 人工智能的人工智能
- 信号处理 信号处理
背景情况:
- 人类活动识别 (HAR) 对于智能家居,辅助生活和安全的自动化至关重要.
- 光学模式 (RGB,深度,热) 主导HAR,利用深度学习 (CNN) 和大型数据集.
- 视觉隐私问题和受限制环境中的限制推动了对替代HAR方法的需求.
研究的目的:
- 提供对人类活动识别 (HAR) 模式的全面概述.
- 讨论HAR新兴的非传统传感方式.
- 为研究人员和从业人员提供有关HAR的挑战和机遇的信息.
主要方法:
- 人类活动识别 (HAR) 模式的文献综述.
- 分析新兴的非常规传感技术 (雷达,WiFi,地震,环境传感器).
- 讨论这些模式的新应用和非传统用途.
主要成果:
- 目前,光学模式普遍存在,但存在一些局限性.
- 新兴的模式提供无接触,远程传感与增强的隐私.
- 非传统的应用证明了这些新的HAR方法的潜力.
结论:
- 新兴的非常规模式为推进人类活动识别 (HAR) 提供了重大机会.
- 需要进一步的研究来应对挑战,并充分利用非光学HAR传感器的潜力.
- 哈尔的领域正在扩展到传统的成像技术之外.
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