With the world population aging at a fast rate, ambient assisted living systems focused on elderly people gather more attention. Human activity recognition (HAR) is a component connected to those systems, as it allows identification of the actions performed and their utilization on behavioral analysis. This paper aims to provide a review on recent studies focusing on HAR and abnormal behavior detection specifically for seniors. The frameworks proposed in the literature are presented. The results are also discussed and summarized, along with the datasets and metrics used. The absence of a universal evaluation framework makes direct comparison not feasible, thus an analysis is made trying to divide the literature using a taxonomy. Solutions on the challenges identified are proposed, while discussing future work.

中文翻译：

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老年人的非侵入式人类活动识别和异常行为检测：综述

随着世界人口老龄化速度加快，以老年人为中心的环境辅助生活系统受到越来越多的关注。人类活动识别 (HAR) 是连接到这些系统的一个组件，因为它允许识别执行的操作及其在行为分析中的利用。本文旨在对最近针对老年人的 HAR 和异常行为检测的研究进行综述。介绍了文献中提出的框架。还讨论和总结了结果以及使用的数据集和指标。缺乏通用评估框架使得直接比较不可行，因此尝试使用分类法来划分文献进行分析。在讨论未来工作的同时，针对所确定的挑战提出了解决方案。