HSMM
所属分类：matlab编程
开发工具：matlab
文件大小：39KB
下载次数：32
上传日期：2019-07-21 22:09:22
上 传 者：
life太阳树
说明： 隐半马尔科夫模型matlab算法,改进的隐马尔可夫模型，增加了状态停留时间
(hidden semi-markvo model Add state duration)
文件列表:
HSMM (0, 2018-03-21)
HSMM\demo-HSMM (0, 2018-03-28)
HSMM\demo-HSMM\data (0, 2013-12-01)
HSMM\demo-HSMM\data\data01.mat (9905, 2012-05-08)
HSMM\demo-HSMM\data\modelHSMMGMR01.mat (3481, 2013-12-01)
HSMM\demo-HSMM\data\modelHSMMGMR03.mat (5505, 2014-08-21)
HSMM\demo-HSMM\data\sample01.mat (3296, 2011-10-25)
HSMM\demo-HSMM\data\sample02.mat (3274, 2011-10-25)
HSMM\demo-HSMM\data\sample03.mat (3282, 2011-10-25)
HSMM\demo-HSMM\demo1.m (6182, 2018-03-28)
HSMM\demo-HSMM\EM_HSMM.m (6085, 2014-02-22)
HSMM\demo-HSMM\EM_init_regularTiming.m (1546, 2014-02-22)
HSMM\demo-HSMM\gaussPDF.m (998, 2014-02-22)
HSMM\demo-HSMM\hsmm_fwd_init_hsum.m (536, 2014-02-22)
HSMM\demo-HSMM\hsmm_fwd_init_ts.m (321, 2014-02-22)
HSMM\demo-HSMM\hsmm_fwd_step_hsum.m (1043, 2014-02-22)
HSMM\demo-HSMM\hsmm_fwd_step_ts.m (628, 2014-02-22)
HSMM\demo-HSMM\plotGMM.m (2046, 2011-08-24)
Demo 1 - Simple example of continuous HSMM
Simple example of the use of Hidden Semi-Markov Model (HSMM), a form of explicit-duration Hidden Markov model, to learn and reproduce trajectories.
The movement is represented as a combination of linear systems with a velocity dx computed iteratively as dx = sum_i h_i (A_i x + b_i), where h_i is a weight defined by HSMM.
A_i and b_i form a matrix and vector associated with state i of the HSMM.
Usage:
Run 'demo1' in Matlab.
Reference:
Calinon, S., Pistillo, A. and Caldwell, D.G. (2011) Encoding the time and space constraints of a task in explicit-duration hidden Markov model. Proc. of the IEEE/RSJ Intl Conf. on Intelligent Robots and Systems (IROS).
Downloaded from:
http://programming-by-demonstration.org
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