DocumentCode :
726875
Title :
DyGo -- Household Object Interaction Tracking for Smart Home Environments
Author :
Rosner, Daniel ; Vasile, Diana ; Aungurencei, Alexandru ; Vasile, Sorina ; Tanasiev, Vladimir
Author_Institution :
Fac. of Autom. Control & Comput. Sci., Univ. Politeh. of Bucharest, Bucharest, Romania
fYear :
2015
fDate :
27-29 May 2015
Firstpage :
248
Lastpage :
251
Abstract :
The past decades brought substantial improvements in quality of life, average life expectancy, and medical solutions to previously incurable illness. However, little progress has been made in healing or improving quality of life for cognitively impaired patients (Alzheimer, Lewy body dementia, vascular dementia, front temporal dementia, Parkinson´s disease or corticobasal degeneration). The past years have brought forth numerous AmI solutions for monitoring daily activities of cognitive impaired patients, but their real world application is generally limited by privacy, price and deployment constrains. The current paper proposes a household object interaction system that uses a novel algorithm to provide information for behavioral monitoring while preserving intimacy and keeping real world implementation effort at acceptable levels.
Keywords :
behavioural sciences computing; cognition; home automation; patient monitoring; AmI solutions; DyGo; behavioral monitoring; cognitively impaired patients; daily activity monitoring; household object interaction system; household object interaction tracking; smart home environments; Calibration; Dementia; Monitoring; Sensors; Standards; AmI; cognitive impairment; elder care; home monitoring; household object interaction; movement detection; smart home;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Systems and Computer Science (CSCS), 2015 20th International Conference on
Conference_Location :
Bucharest
Print_ISBN :
978-1-4799-1779-2
Type :
conf
DOI :
10.1109/CSCS.2015.138
Filename :
7168438
Link To Document :
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