【摘要】 隐马尔科夫模型[1]作为一种统计分析模型,能够通过观测向量序列计算其隐含状态的概率分布密度。提出一种智能空间中基于HMM的场景识别方法,该方法指定系统相关情境信息,确定隐含场景集和观察情境集,采用部分相关情境信息而非全部情境信息作为场景特征参与场景识别,利用HMM对隐含场景间的关系进行建模,设计了基于HMM的场景识别算法。实验结果表明,采用基于HMM的场景识别方法能够获得较高的识别效率。更多还原

【Abstract】 Hidden Markov Model,as a statistical model,can get the probability of hidden status by calculating the sequence of observed status.In this paper,a recognition approach based on HMM was proposed to infer situation in smart space.The approach infers situation by calculating partly contexts of system-related,using HMM to model the hidden situations.We designed the recognition algorithm based on HMM.Our experimental results show that this method can make a good performs and get a higher efficiency.更多还原