Estimation of speed and incline of walking using neural network

Author

Aminian, K. ; Robert, Ph. ; Jéquier, E. ; Schutz, Y.

Author_Institution

Lab. de Metrol., Swiss Federal Inst. of Technol., Lausanne, Switzerland

fYear

1994

fDate

10-12 May 1994

Firstpage

160

Abstract

A portable datalogger is designed to record body accelerations during human walking. The recorded signals are parametrised and the pattern of walking at each gait cycle is found. These patterns are presented to two neural networks which estimate the incline and the speed of walking. Subjects performed a treadmill walking followed by a self paced walking on an outdoor test circuit involving roads of various inclines. The results show a good estimation of the incline and the speed for all of the subjects. To the best of our knowledge these results constitute the first speed and incline estimation of level and grade walking in free-living conditions

Keywords

acceleration measurement; backpropagation; biological techniques and instruments; biomechanics; computerised instrumentation; data loggers; neural nets; parameter estimation; velocity measurement; body accelerations; grade walking; human walking; incline estimation; inclines; neural network; outdoor test circuit; piezoresistive accelerometers; portable datalogger; roads; self paced walking; speed estimation; treadmill walking; walking; Acceleration; Accelerometers; Automatic testing; Circuit testing; Humans; Legged locomotion; Neural networks; Performance evaluation; Physiology; Random access memory;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 1994. IMTC/94. Conference Proceedings. 10th Anniversary. Advanced Technologies in I & M., 1994 IEEE

Conference_Location

Hamamatsu

Print_ISBN

0-7803-1880-3

Type

conf

DOI

10.1109/IMTC.1994.352073

Filename

352073