Spatio-Temporal Footprints

被引：1

作者：

Guesgen, Hans W. ^{[1
]}

Marsland, Stephen ^{[2
,3
]}

机构：

[1] Massey Univ, Sch Engn & Adv Technol, Comp Sci, Palmerston North, New Zealand

[2] Massey Univ, Comp Sci, Palmerston North, New Zealand

[3] Massey Univ, Sch Engn & Adv Technol, Palmerston North, New Zealand

来源：

INTERNATIONAL JOURNAL OF AMBIENT COMPUTING AND INTELLIGENCE | 2010年 / 2卷 / 01期

关键词：

Abnormality Detection; Behaviour Recognition; Space-Time Invariants Spatio-Temporal Reasoning;

D O I：

10.4018/jaci.2010010104

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The recognition of human behaviour from sensor observations is an important area of research in smart homes and ambient intelligence. In this article, we introduce the idea of spatio-temporal footprints, which are local patterns in space and time that should be similar across repeated occurrences of the same behaviour. We discuss the spatial and temporal mapping requirements of these footprints, together with how they may be used.

引用

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页码：52 / 58

页数：7

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