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Weight carrying conditions in human subjects is classified using a mixture of Gaussian based classifier and neural networks. Expectation maximization (EM) algorithm is used to learn the model parameters for the mixture of Gaussian (MOG) based classifier. Since variables change in time as the human subjects walk, and likelihood score in a mixture model is usually calculated for stationary data, a scoring...
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