老年人人体活动识别与监测

2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2016-09-01 DOI:10.1109/ICCP.2016.7737171

G. Sebestyen, I. Stoica, A. Hangan

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引用次数: 40

摘要

统计数据显示，欧洲人口正在老龄化，在不久的将来，对老年人的人力援助将是令人望而却步的。本文分析了实施监控系统的可能性，该系统能够在不侵犯亲密关系的情况下监控一个人在其家中的活动。其主要思想是从放置在室内和移动设备上的各种传感器收集信息，并推断出被监督人员执行的最可能的活动顺序。采用隐马尔可夫链方法对活动链进行识别。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Human activity recognition and monitoring for elderly people

Statistics show that the population in Europe is aging and in the near future human assistance for elderly persons will be prohibitive. This paper analyses the possibilities to implement a supervision system, which is capable of monitoring a person's activity in his/her home without violating intimacy. The main idea is to collect information from various sensors placed in house and on mobile devices and infer a most probable sequence of activities performed by the supervised person. A Hidden Markov chain method is adapted for the activity chain recognition.

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来源期刊

2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP)

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