Radar Signal Processing for Sensing in Assisted Living The challenges associated with real-time implementation of emerging algorithms
Radar Signal Processing for Sensing in Assisted Living The challenges associated with real-time implementation of emerging algorithms
复制标题
用于辅助生活传感的雷达信号处理：与实时实施新兴算法相关的挑战
DOI：
10.1109/msp.2019.2903715
复制
发表时间：
2019-07-01
影响因子：
14.9
通讯作者：
Romain, Olivier
中科院分区：
文献类型：
--
作者：
Le Kernec, Julien;Fioranelli, Francesco;Romain, Olivier
本文介绍了辅助生活 (AL) 背景下用于传感的雷达信号处理。这是通过三个示例应用来介绍的：日常生活活动 (ADL) 的人类活动识别 (HAR)、呼吸系统疾病和睡眠阶段 (SS) 分类。在监督学习的测量/预处理、特征提取和分类算法的框架内讨论了分类的常见挑战。然后，从信号处理的角度来看，这三个应用程序的具体挑战在其特定的数据处理和临时分类策略中进行了详细说明。这里的重点是活动识别（多域、多模态和融合）领域的最新趋势、基于生命体征的医疗保健应用（超分辨率技术）以及与突出挑战相关的评论。最后，本文探讨了与信号处理/分类算法实时实现相关的挑战。
This article covers radar signal processing for sensing in the context of assisted living (AL). This is presented through three example applications: human activity recognition (HAR) for activities of daily living (ADL), respiratory disorders, and sleep stages (SSs) classification. The common challenge of classification is discussed within a framework of measurements/preprocessing, feature extraction, and classification algorithms for supervised learning. Then, the specific challenges of the three applications from a signal processing standpoint are detailed in their specific data processing and ad hoc classification strategies. Here, the focus is on recent trends in the field of activity recognition (multidomain, multimodal, and fusion), health-care applications based on vital signs (superresolution techniques), and comments related to outstanding challenges. Finally, this article explores challenges associated with the real-time implementation of signal processing/classification algorithms.