WU Dongrui, Z Zhi-Gang, MO Hong, W Fei-Yue - ACTA Autom. Sin, 2020 - aas.net.cn
… -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 HiddenMarkovModel was employed to train the models for different action … In this paper, a self-learned humanactionrecognition system based on SAE codebook and …
… t11eory of the HiddenMarkovModel(HMM)and the speech recogIlition system.By using the embedded platfbⅡn,也e manned—spacecraR speech recognition 3ystem is built based on …
… -based humanactivityrecognition research has played an … a lightweight humanactivity recognition learning model has … 隐马尔科夫模型(Continuous hiddenmarkovmodel, HMM) 和支持…
… Humanactivityrecognition is an important issue in the fields of … in the humanactivities, we propose a novel humanactivity … hiddenMarkovmodel, 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 HiddenMarkovModel (HMM), then, use GMM-HMM algorithm for gesture recognition. …
… random field (CRF), EigenJoints, profile hiddenMarkovmodel (HMM), relation matrix of 3D … improve the accuracy of humanactionrecognition, and itsactionrecognition rate is higher …
… Humanactionrecognition based on coupled multi-HMM and depth image … -HiddenMarkov Model)model, and used the forward algorithm to establish the generation region and action …