计算机工程与应用 ›› 2021, Vol. 57 ›› Issue (4): 35-42.DOI: 10.3778/j.issn.1002-8331.2010-0002

• 热点与综述 • 上一篇    下一篇

智能家居中的居民日常行为识别综述

刘勇,谢若莹,丰阳,王亚辉,刘亚清   

  1. 1.四川轻化工大学 人工智能四川省重点实验室,四川 自贡 643000
    2.大连海事大学 信息科学技术学院,辽宁 大连 116026
    3.晋中职业技术学院 电子信息学院,山西 晋中 030600
  • 出版日期:2021-02-15 发布日期:2021-02-06

Survey on Resident’s Daily Activity Recognition in Smart Homes

LIU Yong, XIE Ruoying, FENG Yang, WANG Yahui, LIU Yaqing   

  1. 1.Sichuan Key Laboratory of Artificial Intelligence, Sichuan University of Science & Engineering, Zigong, Sichuan 643000, China
    2.School of Information Science & Technology, Dalian Maritime University, Dalian, Liaoning 116026, China
    3.School of Electronic Information, Jinzhong Vocational & Technical College, Jinzhong, Shanxi 030600, China
  • Online:2021-02-15 Published:2021-02-06

摘要:

针对智能家居中居民日常行为识别进行了综述。介绍了基于非入侵式传感器的智能家居环境,分析了智能家居中日常行为识别研究的意义;概述了日常行为识别的基本流程;根据日常行为识别的基本流程,归纳了目前日常行为识别研究领域中传感器事件流分割、日常行为特征的选择和计算以及日常行为识别方法三个关键问题的研究现状;指出了未来智能家居中日常行为识别的研究方向。

关键词: 智能家居, 日常行为识别, 泛在智能, 普适计算, 环境感知

Abstract:

This paper reviews the current development status in the field of resident’s daily activity recognition in smart homes. Firstly, this paper explains what is smart home and introduces the research background of daily activity recognition. Then, this paper outlines the basic process of daily activity recognition. Next, this paper refines key problems of daily activity recognition and summarizes the current development status of sensor events segmentation, daily activity features selection and solving, and daily activity recognition approaches, respectively. Finally, this paper discusses the problems to be solved and future research directions of daily activity recognition.

Key words: smart homes, daily activity recognition, ambient intelligence, pervasive computing, context awareness