Activity recognition using Grey-Markov model
- WCU Author/Contributor (non-WCU co-authors, if there are any, appear on document)
- Kirke Shouse (Creator)
- Institution
- Western Carolina University (WCU )
- Web Site: http://library.wcu.edu/
- Advisor
- James Zhang
Abstract: Activity Recognition (AR) is a process of identifying actions and goals of one or
more agents of interest. AR techniques have been applied to both large and small scale
activity identification. Examples of AR techniques include Genetic Algorithm, Markov
Chain, and so on.
This research proposes a novel method, Grey Markov Model (GMM), for detection
and prediction of pre-defined activities. There were three objectives of this research.
The first objective was to establish a database of pre-defined human activities. The second
objective was to establish the Grey Markov Model. The final objective was to verify the
model performance using the established database.
This thesis describes the methodology of test setup and data collection, as well as
the procedures of model generation. Furthermore, experimental results of model performance
verification test are also reported.
Activity recognition using Grey-Markov model
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Created on 12/1/2011
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Additional Information
- Publication
- Thesis
- Language: English
- Date: 2011
- Keywords
- Activity Recognition, Grey-Markov Model
- Subjects
- Human activity recognition
- Markov processes