The smart condo: visualizing independent living environments in a virtual world

Abstract

Providing affordable, high-quality healthcare to the elderly while enabling them to live independently longer is of critical importance. In our Smart Condo project, we have deployed a wireless sensor network in an 850-square-foot condominium for assisted living. The sensor network records a variety of events and environmental parameters and feeds the related data into our web-based system. This system is responsible for inferring higher-order information about the activities of the condo's occupant and visualizing the collected information in both a 2D Geographic Information System (GIS) and a 3D virtual world. The architecture is flexible in terms of supported sensor types, analyses, and visualizations through which it communicates this information to its users, including the condo's occupant, their family, and their healthcare providers.

Recreating living experiences from past memories through virtual worlds for people with dementia

“…There have been few studies looking into the use of VW technology in the care of older people with dementia in care homes. This technology has been used indirectly as visualisation tools to visualise the activities and locations of older people for caregivers and their family members [4]. It has also been used to provide relaxation to trigger positive emotions among older people [6] and to provide a representation of a place from the past (e.g.…”

SensorGIS - An Integrated Architecture for Information Systems based on Sensor Networks

“…Biologists can view the data in SensorGIS, either in the field or via the Internet, and then focus only on occupied traps. The interested reader can find more information about the latter project at (Boers et al, 2009). Its integration with the intelligent mousetrap and Smart Condo project provides strong support for its applicability to diverse WSNs.…”

Evaluation of localization and activity recognition systems for ambient assisted living: The experience of the 2012 EvAAL competition

“…Seven teams were accepted to the indoor localization competition, namely CAR (from the Centre for Automation and Robotics, Spain) [23], LOCOSmotion (from the University of Duisburg-Essen, Germany) [24], OwlPS (from the Institute Femto-st, France) [25], CPS Group @ Utah (from the University of Utah, USA) [26], TAIS (from the University of Sevilla, Spain) [27], iLocPlus (from Stuttgart University of Applied Sciences and iHomeLab at Lucerne University of Applied Sciences) [28], and Smart-Condo (from the University of Alberta, Canada) [29]. The description of these systems is as follows: .…”