Research Article
Longitudinal Residential Ambient Monitoring: Correlating Sensor Data to Functional Health Status
@INPROCEEDINGS{10.4108/icst.pervasivehealth.2013.252087, author={Saskia Robben and Ben Krose}, title={Longitudinal Residential Ambient Monitoring: Correlating Sensor Data to Functional Health Status}, proceedings={7th International Conference on Pervasive Computing Technologies for Healthcare}, publisher={IEEE}, proceedings_a={PERVASIVEHEALTH}, year={2013}, month={5}, keywords={sensor monitoring feature extraction functional health}, doi={10.4108/icst.pervasivehealth.2013.252087} }- Saskia Robben
Ben Krose
Year: 2013
Longitudinal Residential Ambient Monitoring: Correlating Sensor Data to Functional Health Status
PERVASIVEHEALTH
ICST
DOI: 10.4108/icst.pervasivehealth.2013.252087
Abstract
Wireless sensor networks are becoming popular in the field of ambient assisted living. In this paper we report our study on the relationship between a functional health metric and features derived from the sensor data. Sensor systems are installed in the houses of nine people who are also quarterly visited by an occupational therapist for functional health assessments. Different features are extracted and these are correlated with a metric of functional health (the AMPS motor). Though the sample is small, the results indicate that some features are better in describing the functional health in the population, but individual differences should also be taken into account when developing a sensor system for functional health assessment.