Distributed Accelerometers as a Main Component in Detecting Activities of Daily Living

Authors:
Josef Diermaier;Katharina Neyder;Franz Werner;Paul Panek;Wolfgang L. Zagler
Affiliations:
CEIT RALTEC - Central European Institute of Technology, Inst. for Rehabilitation and Assistive Living Technologies, Schwechat, Austria 2320;CEIT RALTEC - Central European Institute of Technology, Inst. for Rehabilitation and Assistive Living Technologies, Schwechat, Austria 2320;CEIT RALTEC - Central European Institute of Technology, Inst. for Rehabilitation and Assistive Living Technologies, Schwechat, Austria 2320;CEIT RALTEC - Central European Institute of Technology, Inst. for Rehabilitation and Assistive Living Technologies, Schwechat, Austria 2320 and fortec - Research Group on Rehabilitation Technology ...;CEIT RALTEC - Central European Institute of Technology, Inst. for Rehabilitation and Assistive Living Technologies, Schwechat, Austria 2320 and fortec - Research Group on Rehabilitation Technology ...
Venue:
ICCHP '08 Proceedings of the 11th international conference on Computers Helping People with Special Needs
Year:
2008

Citing 4
Cited 0

Smart home care network using sensor fusion and distributed vision-based reasoning

Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
How smart are our environments? An updated look at the state of the art

Pervasive and Mobile Computing
A feature combination approach for the detection of early morning bathroom activities with wireless sensors

Proceedings of the 1st ACM SIGMOBILE international workshop on Systems and networking support for healthcare and assisted living environments
Sensor networks in Telecare

Proceedings of the 4th workshop on Embedded networked sensors

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we describe the use of accelerometers in a system aiming to detect Activities of Daily Living (ADLs) of elderly people in home environments. Our aim is to enable senior citizens to remain in their familiar home environments as long as possible by increasing their feeling for safety and autonomy in a minimally invasive way. Therefore we developed a ZigBee-based smart system which uses distributed accelerometers as main sensory component and does not need the resident to wear any artifact. In this way certain activity patterns could be recognized respecting the users' privacy. We gathered certain ADLs manually from the raw data and validated them in different ways. In this manner 151 out of 155 ADLs could be verified. In this paper an overview of the system together with the findings of the real life tests are presented.