An activity monitoring system for elderly care using generative and discriminative models

被引：158

作者：

van Kasteren, T. L. M. ^{[1
]}

Englebienne, G. ^{[1
]}

Krose, B. J. A. ^{[1
]}

机构：

[1] Univ Amsterdam, Intelligent Syst Lab Amsterdam, NL-1098 XG Amsterdam, Netherlands

来源：

PERSONAL AND UBIQUITOUS COMPUTING | 2010年 / 14卷 / 06期

关键词：

Activity recognition; Machine learning; Wireless sensor networks;

D O I：

10.1007/s00779-009-0277-9

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An activity monitoring system allows many applications to assist in care giving for elderly in their homes. In this paper we present a wireless sensor network for unintrusive observations in the home and show the potential of generative and discriminative models for recognizing activities from such observations. Through a large number of experiments using four real world datasets we show the effectiveness of the generative hidden Markov model and the discriminative conditional random fields in activity recognition.

引用

页码：489 / 498

页数：10

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