Using a decision tree with 3 dimensional input points
To use a single vector (p1x, p1y, p1z, p2x, p2y....) per person would be the most easy and obvious way.

Maybe, your prediction would also improve by including some other transformations of these features. But usually trees are eager to use all the information you feed them efficiently. So just a 9-dimensional vector would do.