Knowledge Transfer in Smart Environments

Data mining and pervasive computing technologies found in smart homes offer unprecedented opportunities for providing context-aware services, including health monitoring and assistance to individuals experiencing difficulties living independently at home.  However, activity recognition necessary to provide these services has typically involved gathering and labeling large amounts of data in each setting to learn a model for activities in that setting.    

 

 

This invention provides streamlined generalized models for training common activity recognition with multiple environment settings and resident types.

 

 

Issued Patent, US 9,251,463