Title :
Learning Setting-Generalized Activity Models for Smart Spaces
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
Abstract :
Smart home activity recognition systems can learn generalized models for common activities that span multiple environment settings and resident types.
Keywords :
home automation; learning (artificial intelligence); generalized activity models; learning setting; multiple environment settings; resident types; smart home activity recognition systems; smart spaces; Hidden Markov models; Intelligent sensors; Intelligent systems; Machine learning; Smart homes; Ubiquitous computing; activity recognition; machine learning; pervasive computing; ubiquitous computing;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2010.112
