Acting the Part: The Role of Gesture on Avatar Identity (bibtex)
by Feng, Andrew, Lucas, Gale, Marsella, Stacy, Suma, Evan, Chiu, Chung-Cheng, Casas, Dan and Shapiro, Ari
Abstract:
Recent advances in scanning technology have enabled the widespread capture of 3D character models based on human subjects. However, in order to generate a recognizable 3D avatar, the movement and behavior of the human subject should be captured and replicated as well. We present a method of generating a 3D model from a scan, as well as a method to incorporate a subjects style of gesturing into a 3D character. We present a study which shows that 3D characters that used the gestural style as their original human subjects were more recognizable as the original subject than those that don’t.
Reference:
Acting the Part: The Role of Gesture on Avatar Identity (Feng, Andrew, Lucas, Gale, Marsella, Stacy, Suma, Evan, Chiu, Chung-Cheng, Casas, Dan and Shapiro, Ari), In Proceedings of the Seventh International Conference on Motion in Games (MIG 2014), ACM Press, 2014.
Bibtex Entry:
@inproceedings{feng_acting_2014,
	address = {Playa Vista, CA},
	title = {Acting the {Part}: {The} {Role} of {Gesture} on {Avatar} {Identity}},
	isbn = {978-1-4503-2623-0},
	shorttitle = {Acting the part},
	url = {http://dl.acm.org/citation.cfm?doid=2668064.2668102},
	doi = {10.1145/2668064.2668102},
	abstract = {Recent advances in scanning technology have enabled the widespread capture of 3D character models based on human subjects. However, in order to generate a recognizable 3D avatar, the movement and behavior of the human subject should be captured and replicated as well. We present a method of generating a 3D model from a scan, as well as a method to incorporate a subjects style of gesturing into a 3D character. We present a study which shows that 3D characters that used the gestural style as their original human subjects were more recognizable as the original subject than those that don’t.},
	booktitle = {Proceedings of the {Seventh} {International} {Conference} on {Motion} in {Games} ({MIG} 2014)},
	publisher = {ACM Press},
	author = {Feng, Andrew and Lucas, Gale and Marsella, Stacy and Suma, Evan and Chiu, Chung-Cheng and Casas, Dan and Shapiro, Ari},
	month = nov,
	year = {2014},
	keywords = {MxR, Social Simulation, Virtual Humans, UARC},
	pages = {49--54}
}
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