An Approach to and Evaluations of Assisted Living Systems Using Ambient Intelligence for Emergency Monitoring and Prevention

Ambient Assisted Living (AAL) is currently one of the important research and development areas, where software engineering aspects play a significant role. The goal of AAL solutions is to apply ambient intelligence technologies to enable people with specific needs to continue to live in their preferred environments. This paper presents an approach and several evaluations for emergency monitoring applications. Experiments in a laboratory setting were performed to evaluate the accuracy of recognizing Activities of Daily Living (ADL). The results show that it is possible to detect ADLs with an accuracy of 92% on average. Hence, we conclude that it is possible to support elderly people in staying longer in their homes by autonomously detecting emergencies on the basis of ADL recognition.

[1]  Arthur I. Karshmer,et al.  Living assistance systems: an ambient intelligence approach , 2006, ICSE.

[2]  S. Katz,et al.  STUDIES OF ILLNESS IN THE AGED. THE INDEX OF ADL: A STANDARDIZED MEASURE OF BIOLOGICAL AND PSYCHOSOCIAL FUNCTION. , 1963, JAMA.

[3]  B.G. Celler,et al.  A Home Health Monitoring System Including Intelligent Reporting and Alerts , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[4]  Anthony P. Glascock,et al.  The Impact of Behavioral Monitoring Technology on the Provision of Health Care in the Home , 2006, J. Univers. Comput. Sci..

[5]  M P Lawton,et al.  Scales to measure competence in everyday activities. , 1988, Psychopharmacology bulletin.

[6]  Peter Talty,et al.  Assessing the Elderly: A Practical Guide to Measurement , 1983 .

[7]  F. Miskelly,et al.  Assistive technology in elderly care. , 2001, Age and ageing.

[8]  Branko G. Celler,et al.  An instrumentation system for the remote monitoring of changes in functional health status of the elderly at home , 1994, Proceedings of 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[9]  John J. Marciniak,et al.  Encyclopedia of Software Engineering , 1994, Encyclopedia of Software Engineering.

[10]  Eric Dishman,et al.  Inventing wellness systems for aging in place , 2004, Computer.