IRC Next Steps Plus : OPERA - Opportunistic Passive Radar for Non-Cooperative Contextual Sensing

身体活动和行为是一系列长期慢性健康状况的重要组成部分，如糖尿病，痴呆症，抑郁症，COPD，关节炎和哮喘，英国目前将其整个健康和社会保健预算的70%用于这些类型的疾病。自我护理的各个方面，新的疗法或管理条件，需要新型的非侵入性技术，能够在很长一段时间内捕获有关原因和症状的显著数据。OPERA项目-非合作上下文感知的主动被动雷达-将研究一种用于上下文感知的新型非侵入性传感技术-定义为同时进行的身体活动识别和室内定位-促进电子医疗保健和环境辅助生活（AAL）的新应用。OPERA平台将被集成到“SPHERE长期行为传感器”中，与家庭周围的各种其他传感器一起收集信息，以监测和跟踪人们的签名运动。OPERA系统将围绕被动传感技术构建：- 仅接收器的雷达网络，其检测来自人的环境射频信号的反射-在这种情况下，主要地，住宅环境中的WiFi信号。这些机会主义信号从普通的家庭WiFi接入点传输，也从其他正在成为物联网（IoT）家庭生态系统一部分的无线设备传输。该项目将利用尖端的硬件同步技术，以及最新的测向技术，实现精确的无设备（非合作）定位。它还将采用微多普勒雷达信号处理，生物力学建模和机器/深度学习的最新理念，用于自动识别日常活动，例如整理和洗涤，以及需要紧急关注的事件，例如跌倒。OPERA有望克服与最先进的上下文传感技术相关的一些关键障碍。最值得注意的是对可穿戴设备的不遵守，特别是在老年人中，以及基于视频的技术的侵入性所带来的隐私侵犯。

Physical activity and behaviour is a very large component in an array of long-term chronic health conditions such as diabetes, dementia, depression, COPD, arthritis and asthma, and the UK currently spends 70% of its entire health and social care budget on these types of conditions. All aspects of self-care, new therapies or management conditions, require novel non-intrusive technologies able to capture the salient data on causes and symptoms over long periods of time.The OPERA Project - Opportunistic Passive Radar for Non-Cooperative Contextual Sensing - will investigate a new unobtrusive sensing technology for CONTEXUAL SENSING - defined as concurrent physical activity recognition and indoor localisation - to facilitate new applications in e-Healthcare and Ambient Assisted Living (AAL). The OPERA platform will be integrated into the "SPHERE long term behavioural sensing machine" to gather information alongside various other sensors around the home so as to monitor and track the signature movements of people.The OPERA system will be built around passive sensing technology: a receiver-only radar network that detects the reflections of ambient radio-frequency signals from people - in this case, principally, the WiFi signals in residential environments. These opportunistic signals are transmitted from common household WiFi access points, but also other wireless enabled devices which are becoming part of the Internet of Things (IoT) home ecosystem.The project will make use of cutting-edge hardware synchronisation techniques, and recent advances in direction finding techniques to enable accurate device-free (non-cooperative) localisation of people. It will also employ the latest ideas in micro-Doppler radar signal processing, bio-mechanical modelling and machine/deep learning for automatic recognition of both everyday activities e.g. tidying and washing-up, to events which require urgent attention such as falling. OPERA is expected to overcome some of the key barriers associated with the state-of-the-art contextual sensing technologies. Most notably non-compliance with wearable devices, especially amongst the elderly, and the invasion of privacy brought about by the intrusive nature of video based technologies.