인체동작분석시 Wavelet변환을 이용한 영상자료의 보간 및 분석 = Image Data Interpolation for Human Motion Analysis Using Wavelet Transformation

다국어 초록 (Multilingual Abstract)

Inputting data of human motion analysis means signal processing of changes in linear time dependent spatial coordinates of anatomical landmarks. Commercial CCD camera appears to be sampling 30 fps imposing limitation for human motion analysis which needs at least 60 fps. For the interpolation 60 fps fast algorithm of inverse wavelet transformation (IWT) was utilized producing 60 fps out of normal 30 fps. The original data from free fall and cycling motion of lower extremity were used to test the applicabiility of wavelet interpolation to human motion analysis. The test results showed linear relationship between two data sets. In the test of free fall, data curves of two sets, theoretical 30 frame data and 60 frame data after inverse wavelet transformation, appeared to be almost identical. Regression analysis of free fall test showed R^2 = 0.99 meaning Y = IWT. In the test with cycling motion of lower extremity % cycle of maximum flexion and extension at the joints was compared between two data sets showing same result, as in free fall test.