CLASSIFICATION OF ACCELERATION WAVE-FORMS DURING WALKING BY WAVELET TRANSFORM

In this study we have attempted to classify the acceleration signal, w hile walking both at horizontal level, and upstairs and downstairs, us ing wavelet analysis. The acceleration signal close to the body's cent er of gravity was measured while the subjects walked in a corridor and up and down a stairway. The data for four steps were analyzed and the Daubecies 3 wavelet transform was applied to the sequential data, The variables to be discriminated were the waveforms related to levels -4 and -5, The sum of the square values at each step was compared at lev els -4 and -5, Downstairs walking could be discriminated from other ty pes of walking, showing the largest value for level -5. Walking at hor izontal level was compared with upstairs walking for level -4. It was possible to discriminate the continuous dynamic responses to walking b y the wavelet transform.