Title :
Intelligent Sensing Systems for Measuring Wellness Indices of the Daily Activities for the Elderly
Author :
Suryadevara, N.K. ; Quazi, M.T. ; Mukhopadhyay, S.C.
Author_Institution :
Sch. of Eng. & Adv. Technol., Massey Univ., Palmerston North, New Zealand
Abstract :
In this study, we reported integration of Wireless Sensor Network (WSN) based systems for monitoring elderly health perception and daily activity behaviour recognition. The amalgamation of the systems helps in deducing the elderly wellness indices, thereby informing the health care providers about the tendency of unusual behaviour through telecare system. The developed sensing system along with the intelligent software is low cost, flexible, robust and easy to install and monitor elderly living alone.
Keywords :
biomedical measurement; geriatrics; health care; patient monitoring; telemedicine; wireless sensor networks; behaviour recognition; daily activities; elderly health perception; elderly wellness indices; health care providers; intelligent sensing systems; intelligent software; telecare system; wireless sensor network; Biomedical monitoring; Emotion recognition; Home appliances; Monitoring; Senior citizens; Sensors; Wireless sensor networks; Activities of daily living; Behaviour Recognition; Elder care; Wellness; Wireless Sensor Netowrk;
Conference_Titel :
Intelligent Environments (IE), 2012 8th International Conference on
Conference_Location :
Guanajuato
Print_ISBN :
978-1-4673-2093-1
