… 以隐马尔科夫模型(Hidden Markov model, HMM) 作为解码器. HMM 能够 有效地对连续序列的
产生过程进行建模, HMM 与 高斯混合模型(Gaussian mixture model, GMM) 在基 于音频的语音…

… -2 fuzzy systems, and reviews their typical applications in controls and machine learning.
Finally, it points out several future research directions on interval type-2 fuzzy sets and systems. …

… recognition, the Hidden Markov Model was employed to train the models for different action
… In this paper, a self-learned human action recognition system based on SAE codebook and …

… t11eory of the Hidden Markov Model(HMM)and the speech recogIlition system.By using the
embedded platfbⅡn,也e manned—spacecraR speech recognition 3ystem is built based on …

… -based human activity recognition research has played an … a lightweight human activity
recognition learning model has … 隐马尔科夫模型(Continuous hidden markov model, HMM) 和支持…

… Human activity recognition is an important issue in the fields of … in the human activities, we
propose a novel human activity … hidden Markov model, LHMM)[14] 也 常常用来分析人的行为. …

… Mixture Model (GMM) is used to fit the observation sequence of … human posture, combined
with the Hidden Markov Model (HMM), then, use GMM-HMM algorithm for gesture recognition. …

… random field (CRF), EigenJoints, profile hidden Markov model (HMM), relation matrix of 3D
… improve the accuracy of human action recognition, and its action recognition rate is higher …

… Human action recognition based on coupled multi-HMM and depth image … -Hidden Markov
Model)model, and used the forward algorithm to establish the generation region and action …