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Multioccupant Activity Recognition in Pervasive Smart Home Environments

机译：普及型智能家居环境中的多人活动识别

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摘要

Human activity recognition in ambient intelligent environments like homes, offices, and classrooms has been the center of a lot of research for many years now. The aim is to recognize the sequence of actions by a specific person using sensor readings. Most of the research has been devoted to activity recognition of single occupants in the environment. However, living environments are usually inhabited by more than one person and possibly with pets. Hence, human activity recognition in the context of multioccupancy is more general, but also more challenging. The difficulty comes from mainly two aspects: resident identification, known as data association, and diversity of human activities. The present survey article provides an overview of existing approaches and current practices for activity recognition in multioccupant smart homes. It presents the latest developments and highlights the open issues in this field.
机译：多年来，在诸如房屋，办公室和教室等环境智能环境中的人类活动识别一直是许多研究的中心。目的是使用传感器读数识别特定人员的操作顺序。大多数研究致力于环境中单人活动识别。但是，生活环境通常由一个以上的人居住，并且可能有宠物。因此，在多人居住的情况下对人类活动的识别更为普遍，但也更具挑战性。困难主要来自两个方面：居民身份识别（称为数据关联）和人类活动的多样性。本调查文章概述了多人智能家居中用于活动识别的现有方法和当前实践。它介绍了最新动态，并突出了该领域的未解决问题。

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