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Use of Infrared Sensors for Estimation of Energy Expenditure by Elderly People Living Alone at Home

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2 Author(s)
Alka R Kaushik ; School of Electrical Engineering and Telecommunications, Biomedical Systems Laboratories, University of N.S.W, Sydney, NSW 2052, Australia. Email: alka@student.unsw.edu.au ; Branko G Celler

Tri-axial accelerometers (triax) can estimate energy expenditure with a correlation of approximately 0.9. We explored the idea of developing an alternative non-contact method to estimate energy expenditure. In this paper, we present a statistical analysis of infrared sensor data and tri-axial accelerometer data to investigate a relationship between the infrared sensor outputs and energy expenditure as estimated using a triaxial accelerometer. Parametric regression of triax data and sensor data did not show any global fitting parameters. Non parametric regression method of locally weighted scatter plot smoothing (lowess) using tri-cube kernel weights gives an underlying trend of energy estimate. As it is a non-parametric method, it does not give us any global parameters to estimate measure of energy expenditure. But it gives us a good visual assessment of relationship between motion sensor data and accelerometer data

Published in:

Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE

Date of Conference:

Aug. 30 2006-Sept. 3 2006