A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is
The growing use of virtual humans demands generating increasingly realistic behavior for them while minimizing cost and time. Gestures are a key ingredient for realistic and engaging virtual agents and consequently automatized gesture generation has been a popular area of research. So far, good gesture generation has relied on explicit formulation of if-then rules and probabilistic modelling of annotated features. Machine learning approaches have yielded only marginal success, indicating a highdoi:10.1145/3267851.3267898 dblp:conf/iva/FerstlM18 fatcat:qhbirpnbuzac3mytoqhosfz5pe