@inbook {IOPORT.06071481,
    author       = {Kim, Yejin and Neff, Michael},
    title        = {Automating expressive locomotion generation.},
    year         = {2012},
    booktitle    = {Transactions on Edutainment VII},
    isbn         = {978-3-642-29049-7},
    pages        = {48-61},
    publisher    = {Berlin: Springer},
    doi          = {10.1007/978-3-642-29050-3_5},
    abstract     = {Summary: This paper introduces a system for expressive locomotion generation that takes as input a set of sample locomotion clips and a motion path. Significantly, the system only requires a single sample of straight-path locomotion for each style modeled and can produce output locomotion for an arbitrary path with arbitrary motion transition points. For efficient locomotion generation, we represent each sample with a loop sequence which encapsulates its key style and utilize these sequences throughout the synthesis process. Several techniques are applied to automate the synthesis: foot-plant detection from unlabeled samples, estimation of an adaptive blending length for a natural style change, and a post-processing step for enhancing the physical realism of the output animation. Compared to previous approaches, the system requires significantly less data and manual labor, while supporting a large range of styles.},
    identifier   = {06071481},
}