Better Learning of Physical Activity by using Social Activity Data.

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Presentation transcript:

Better Learning of Physical Activity by using Social Activity Data

Outline DataSet Description Current Status Proposal for improvement

DataSet Description Place: Kendal at Hanover Subjects: 8 Duration: 6 August 2009 to 15August 2009

Previous Classification Result A simple classification of activities using LogitBoost Considered activities: 1.Stationary 2.Walking 3.Upstairs 4.Downstairs

LogitBoost

Training Results Actual StationaryWalkingDownstairsUpstairs Predicted Stationary Walking Downstairs Upstairs

Person 1

Courtesy: Linden A. Vongsathorn

Proposal Improve Physical activity model using Social activity

Proposed Changes 1.Relabel the data 2.Use extra information in a weak classifier to form a strong classifier

Proposed Changes(1) 3.Factor augmented Vector Auto Regressive Model

Proposed Changes(2) 4. Bayesian inference

Mixed Coupled HMM s AB PBPB PAPA 5.

Mixture of HMM and Factorial HMM s t AB S t+1 AB PBPB PAPA PAPA 6.