Research Article
Visualisation of Movement of Older Adults within their Homes based on PIR Sensor Data
@INPROCEEDINGS{10.4108/icst.pervasivehealth.2012.248621, author={Andrea O' Brien and Kevin McDaid and John Loane and Julie Doyle and Brian O'Mullane}, title={Visualisation of Movement of Older Adults within their Homes based on PIR Sensor Data}, proceedings={Situation Recognition and Medical Data Analysis in Pervasive Health Environments}, publisher={IEEE}, proceedings_a={PERVASENSE}, year={2012}, month={7}, keywords={aal; visualisation; pir sensors aging in place}, doi={10.4108/icst.pervasivehealth.2012.248621} }- Andrea O' Brien
Kevin McDaid
John Loane
Julie Doyle
Brian O'Mullane
Year: 2012
Visualisation of Movement of Older Adults within their Homes based on PIR Sensor Data
PERVASENSE
IEEE
DOI: 10.4108/icst.pervasivehealth.2012.248621
Abstract
As the population lives longer, the number of people beyond the age of retirement is rising. Additional support is required to monitor the health of this aging population to ensure early detection of age related illnesses and accordingly to maintain wellbeing. Ambient sensors, such as those used in Great Northern Haven (GNH) residences, allow for continuous monitoring in an unobtrusive manner. In this paper we present visualisations of sensor data drawn from passive infra red (PIR) sensors located in three areas, i.e. the living room, hallway and main bedroom, in each of twelve independent living apartments. This representation of residents' movement can be used to infer changes in movement patterns over time.
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