共 12 条
Learning Setting-Generalized Activity Models for Smart Spaces
被引:209
作者:
Cook, Diane J.
[1
]
机构:
[1] Washington State Univ, Sch Elect Engn & Comp Sci, Pullman, WA 99164 USA
基金:
美国国家科学基金会;
关键词:
Hidden Markov models;
Intelligent sensors;
Intelligent systems;
Smart homes;
Ubiquitous computing;
Machine learning;
activity recognition;
machine learning;
ubiquitous computing;
pervasive computing;
D O I:
10.1109/MIS.2010.112
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
Smart home activity recognition systems can learn generalized models for common activities that span multiple environment settings and resident types. © 2012 IEEE.
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页码:32 / 38
页数:7
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