Radar for indoor monitoring is an emerging area of research and development, covering and supporting different health and wellbeing applications of smart homes, assisted living, and medical diagnosis. We report on a successful RF sensing system for home monitoring applications. The system recognizes Activities of Daily Living(ADL) and detects unique motion characteristics, using data processing and training algorithms. We also examine the challenges of continuously monitoring various human activities which can be categorized into translation motions (active mode) and in-place motions (resting mode). We use the range-map, offered by a range-Doppler radar, to obtain the transition time between these two categories, characterized by changing and constant range values, respectively. This is achieved using the Radon transform that identifies straight lines of different slopes in the range-map image. Over the in-place motion time intervals, where activities have insignificant or negligible range swath, power threshold of the radar return micro-Doppler signatures,which is employed to define the time-spans of individual activities with insignificant or negligible range swath. Finding both the transition times and the time-spans of the different motions leads to improved classifications, as it avoids decisions rendered over time windows covering mixed activities.

中文翻译：

---

用于连续监测家庭消费应用的人类活动的射频传感

室内监测雷达是一个新兴的研发领域，涵盖和支持智能家居、辅助生活和医疗诊断的不同健康和福祉应用。我们报告了用于家庭监控应用的成功 RF 传感系统。该系统使用数据处理和训练算法识别日常生活活动 (ADL) 并检测独特的运动特征。我们还研究了持续监控各种人类活动的挑战，这些活动可分为平移运动（主动模式）和原地运动（休息模式）。我们使用距离多普勒雷达提供的距离图来获得这两个类别之间的过渡时间，分别以变化和恒定的距离值为特征。这是使用 Radon 变换实现的，该变换识别距离图图像中不同斜率的直线。在原地运动时间间隔内，当活动具有不显着或可忽略的范围带时，雷达返回微多普勒特征的功率阈值用于定义具有不显着或可忽略的范围带的单个活动的时间跨度。找到不同运动的过渡时间和时间跨度可以改进分类，因为它避免了随着时间窗口呈现的决策覆盖混合活动。它用于定义具有微不足道或可忽略不计范围的单个活动的时间跨度。找到不同运动的过渡时间和时间跨度可以改进分类，因为它避免了随着时间窗口呈现的决策覆盖混合活动。它用于定义具有微不足道或可忽略不计范围的单个活动的时间跨度。找到不同运动的过渡时间和时间跨度可以改进分类，因为它避免了随着时间窗口呈现的决策覆盖混合活动。