Robust Feature Construction for Human Activity Recognition from Wi-Fi Signals Perturbation

用于通过 Wi-Fi 信号扰动识别人类活动的稳健特征构建

• 批准号: 531225-2018
• 负责人: Michalska, Hannah
• 金额: $ 1.82万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=659736
• 关键词: Robust; Feature; Construction; Human; Activity

The project concerns the development of a new technology for reliable human activity detection and**recognition in residential environments by using signals emitted by off-the-shelf WiFi devices. Diverse**machine learning software has been developed for this purpose but lacks accuracy and is excessively sensitive**to exterior disturbances. The goal of the project is to improve on this status quo towards bringing the**technology closer to market release where it can be used for low-cost intrusion detection or health monitoring**of the elderly.

该项目涉及开发一种新技术，通过使用现成的WiFi设备发出的信号，在住宅环境中进行可靠的人类活动检测和识别。为此开发了各种机器学习软件，但缺乏准确性，并且对外部干扰过于敏感。该项目的目标是改善这一现状，使 ** 技术更接近市场发布，可用于老年人的低成本入侵检测或健康监测 **。