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Better Learning of Physical Activity by using Social Activity Data
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Outline DataSet Description Current Status Proposal for improvement
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DataSet Description Place: Kendal at Hanover Subjects: 8 Duration: 6 August 2009 to 15August 2009
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Previous Classification Result A simple classification of activities using LogitBoost Considered activities: 1.Stationary 2.Walking 3.Upstairs 4.Downstairs
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LogitBoost
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Training Results Actual StationaryWalkingDownstairsUpstairs Predicted Stationary2933000 Walking012200 Downstairs011370 Upstairs0110104
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Person 1
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Courtesy: Linden A. Vongsathorn
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Proposal Improve Physical activity model using Social activity
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Proposed Changes 1.Relabel the data 2.Use extra information in a weak classifier to form a strong classifier
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Proposed Changes(1) 3.Factor augmented Vector Auto Regressive Model
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Proposed Changes(2) 4. Bayesian inference
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Mixed Coupled HMM s AB PBPB PAPA 5.
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Mixture of HMM and Factorial HMM s t AB S t+1 AB PBPB PAPA PAPA 6.
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