Title :
Non-intrusive human activity monitoring in a smart home environment
Author :
Amiri, S. Mohsen ; Pourazad, Mahsa T. ; Nasiopoulos, Panos ; Leung, Victor C. M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada
Abstract :
Non-intrusive activity monitoring of occupants in a home environment plays an important role in developing the next generation of smart environments and remote health monitoring systems. One important challenge in this research area is lack of a comprehensive dataset. In this paper, we introduce a new dataset related to a smart home environment, which can be used for human activity recognition. In addition, we benchmark our proposed human action recognition algorithm and some other state-of-the-art methods using our dataset.
Keywords :
health care; home computing; patient monitoring; nonintrusive human activity monitoring; remote health monitoring systems; smart home environment; Accuracy; Artificial neural networks; Classification algorithms; Feature extraction; Monitoring; Spatiotemporal phenomena; Support vector machines; human action recognition; smart home;
Conference_Titel :
e-Health Networking, Applications & Services (Healthcom), 2013 IEEE 15th International Conference on
Conference_Location :
Lisbon
Print_ISBN :
978-1-4673-5800-2
DOI :
10.1109/HealthCom.2013.6720748
