Estimation of walking energy expenditure by using support vector regression

Publication Type:
Conference Proceeding
Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, 2005, 7 VOLS pp. 3526 - 3529
Issue Date:
Full metadata record
This paper develops a new predictor of walking energy expenditure from wireless measurements of body movements using triaxial accelerometers. Reliable data were collected from repeated walking experiments in different conditions on a treadmill with simultaneous measurement of expired oxygen and carbon dioxide. Support vector regression, a powerful non-linear regression method, was used to process and model the data. This novel processing method sets this investigation apart from existing papers. Good results were achieved in the robust estimation of walking related energy expenditure from a number of variables derived from triaxial accelerometer and treadmill speed. ©2005 IEEE.
Please use this identifier to cite or link to this item: