模拟人的步行，是一个很好的模拟程序-　WALKER　Human gait.

　This model, developed by Nikolaus Troje, is a five-term Fourier series

　with vector-valued coefficients that are the principal components for

　data obtained in motion capture experiments involving subjects wearing

　reflective markers walking on a treadmill.　The components, which are

　also known as "postures" or "eigenwalkers", correspond to the static

　position, forward motion, sideways sway, and two hopping/bouncing

　movements that differ in the phase relationship between the upper and

　lower portions of the body.　The postures are also classified by gender.

　Sliders allow you to vary the amount that each component contributes to

　the overall motion.　A slider setting greater than 1.0 overemphasizes

　the characteristic.　Can you see whether positive values of the gender

　coefficient correspond to male or female subjects?