A computer system to monitor older adults at home: Preliminary results

Abstract

Mailland, O. Guerin, A computer system to monitor older adults at home: Preliminary results. Gerontechnology 2009;8(3):129-139, doi: 10.4017/gt.2009.08.03.011.00 Determining the individual transition from the 3 rd to the 4 th or frailty phase of life is important for both the safety of the older person and to support the care provider. We developed an automatic monitoring system consisting of cameras and different sensors that analyze human behaviors and looks for changes in activities by detecting the presence of people, their movements, and automatically recognizing events and Activities of Daily Living (ADLs). Assessment took place in a laboratory environment (GERHOME) comprised of four rooms (kitchen, living-room, bedroom, and bathroom). Data from 2 volunteers (64 and 85 years old) were analyzed. Precision in recognizing postures and events ranged from 62-94%, while sensitivity fell in the range of 62-87%. The system could differentiate ADL levels for the 64 and 85 year old subjects. These results are promising and merit replication and extension. Considerable work remains before the complete transition from 3 rd to 4 th life phase can be reliably detected. The GERHOME system is promising in this respect

Evaluation of a Context-Aware Voice Interface for Ambient Assisted Living

“…In general, the participants would like to interact as little as possible with the system. It is important to note that many systems, in particular fall detectors, are relying on video cameras [Keshavarz et al 2006;Zouba et al 2009;Bouakaz et al 2014], but little is known about the acceptance of such sensors by the intended users who are not always included in the system design. For the elderly, there is a balance between the benefit of such monitoring (sensors of all kinds) and the intrusion into privacy.…”

Development of Automatic Speech Recognition Techniques for Elderly Home Support: Applications and Challenges

“…A large number of research projects were related to assistive technologies, among them House n [18], Casas [8], ISpace [17], Aging in Place [31], DesdHIS [13], Ger'Home [41] or Soprano [39]. A great variety of sensors were used like wearable video cameras, embedded sensors, medical sensors, switches and infrared detectors.…”

MPIGate: A Solution to Use Heterogeneous Networks for Assisted Living Applications

“…Some IEEE 802.15.4 sensors can be used to monitor the state of the doors and windows, to follow the light conditions on a specific room or place, to detect water leak, the CO 2 level. A consensus arises in many Ambiant Intelligent platform in favor of EIB/KNX and IEEE802.15.4 [13], [14], [15].…”