We have attempted to classify the acceleration signal in walking both level and up and downstairs using wavelet analysis. The acceleration signal close to the body's center of gravity was measured while the subjects walked in a corridor and up and down a stairway in their own shoes. The data for four steps were analyzed and Daubecies 3 wavelet transform was applied to sequential data. The discriminate variables were the waveformsre lated to leve1-4and-5. The sum of square values at each step was compared at level-4 and -5. Downward walking could be discriminated from other types of walking showing the largest value for the level -5 calculation. Then level walking was compared with upstairs walking for level -4 calculation. It was possible to discriminate the continuous dynamic responses of walking by wavelet transform.
A simple procedure has been developed to obtain a pan-focused picture of a microscopic three-dimensional sample. Portions in focus in each picture taken along the depth are picked up to synthesize a panfocused picture. Portions in-focus are detected by searching either the maxima of the local contrast or the extremes of the brightness variation along the depth.
In this paper, we presents the results of examination about the effect when it gave the outside stimulus to bio. As the bio-signal we used the hypothalamus data that is given by the animal experiment. As an analysis method we used the Wavelet Tranceforms