Stacked Generalization with Wrapper-based Feature Selection for Human Activity Recognition


1.Human Activity Recognition

2.Ensemble Learning

3.Feature Selection using Boruta


1.Ambient Living and Assistance

2.Elderly care and support

3.Monitoring and surveillance


Previous Research

Experimental methods and observations

1. Dataset Pre-processing

2. Feature Selection using Boruta

3. Model: Stacked ensemble

4. Training and Observations


1.Improved performance

2.Viability of ensemble models for various situations

3.Future work