Computer Science ›› 2011, Vol. 38 ›› Issue (4): 254-256.
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HE Yan-bin,YANG Zhi-yi,MA Hui,WANG Hai-peng,YU Zhi-wen
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Abstract: Hidden Markov Model, as a statistical model, can get the probability of hidden status by calculating the sequcnce 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.
Key words: Hidden markov model,Situation recognition,Smart space
HE Yan-bin,YANG Zhi-yi,MA Hui,WANG Hai-peng,YU Zhi-wen. Method of Situation Recognition Based on Hidden Markov Model[J].Computer Science, 2011, 38(4): 254-256.
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