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Context-aware environments: from specification to implementation
DOI:10.1111/j.1468-0394.2007.00436.x.png)
摘要
En 中文
This paper deals with the problem of implementing a context model for a smart environment. The problem has already been addressed several times using many different data- or problem-driven methods. In order to separate the modelling phase from implementation, we first represent the context model by a network of situations. Then, different implementations can be automatically generated from this context model depending on user needs and underlying perceptual components. Two different implementations are proposed in this paper: a deterministic one based on Petri nets and a probabilistic one based on hidden Markov models. Both implementations are illustrated and applied to real-world problems.
Keyword:
context recognition
Petri nets
hidden Markov models
automatic cameraman
interaction group detection
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期刊
IF:
2.3
论文数:
2.5K
被引数:
3.8K
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引用论文
A TUTORIAL ON HIDDEN MARKOV-MODELS AND SELECTED APPLICATIONS IN SPEECH RECOGNITION关于语音识别中的隐马尔可夫模型和选定应用的教程
PROCEEDINGS OF THE IEEE
IF25.9

