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Markov model

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Markov chain, Markov model
a mathematical model that makes it possible to study complex systems by establishing a state of the system and then effecting a transition to a new state, such a transition being dependent only on the values of the current state, and not dependent on the previous history of the system up to that point.


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Among the 58 topics are self-healing, ambulatory patient monitoring, a real-time and continuous arousal monitor, the classification of physical interactions between two subjects, fall detection using gyroscopes and accelerometer-derived posture information, monitoring rowing techniques, the real-time motion capture of two-body interactions, and a distributed hidden Markov model for fine-grained annotation in body sensor networks.
This group is mainly concerned with the development and analysis of a time homogeneous Markov model whose parameters are often based on historical observations.
 
 
 
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