Title :
Safer@Home Analytics: A Big Data Analytical Solution for Smart Homes
Author :
Chakravorty, Anjan ; Wlodarczyk, Tomasz ; Chunming Rong
Author_Institution :
Dept. of Comput. & Electr. Eng., Univ. of Stavanger, Stavanger, Norway
Abstract :
The vast amounts of data generated from sensors in smart homes, can give valuable insights about social and behavioral patters on households and their residents. The goal of the project is investigation & implementation of mechanisms to capture/store vast continuous streams of time-series data from optical movement sensors, analyze & mine for anomalies/changes enabling preventive care with mechanisms for presentation/visualization of meaningful information to target user groups (next of kin, care providers, professional services), while ensuring that the privacy of participants are preserved.
Keywords :
Big Data; assisted living; data analysis; data mining; geriatrics; home computing; Safer@Home analytics; big data analytical solution; optical movement sensors; preventive care; smart homes; time-series data; Data analysis; Data privacy; Distributed databases; Intelligent sensors; Smart homes; aging-in-place; big data; data analysis; data mining; smart homes;
Conference_Titel :
Cloud Computing Technology and Science (CloudCom), 2013 IEEE 5th International Conference on
Conference_Location :
Bristol
DOI :
10.1109/CloudCom.2013.129
