Annotation of Human Gesture using 3D Skeleton Controls
Quan Hoang Nguyen, Michael F. Kipp · 2010
The manual transcription of human gesture behavior from video for linguistic analysis is a work-intensive process that results in a rather coarse description of the original motion.We present a novel approach for transcribing gestural movements: by overlaying an articulated 3D skeleton onto the video frame(s) the human coder can replicate original motions on a pose-by-pose basis by manipulating the skeleton.Our tool is integrated in the ANVIL tool so that both symbolic interval data and 3D pose data can be entered in a single tool.Our method allows a relatively quick annotation of human poses which has been validated in a user study.The resulting data are precise enough to create animations that match the original speaker's motion which can be validated with a realtime viewer.The tool can be applied for a variety of research topics in the areas of conversational analysis, gesture studies and intelligent virtual agents.