Synthetic Vision and Memory for Autonomous Virtual Humans

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dc.contributor.authorPeters, C.en_US
dc.contributor.authorO'Sullivan, C.en_US
dc.date.accessioned2015-02-16T07:26:51Z
dc.date.available2015-02-16T07:26:51Z
dc.date.issued2002en_US
dc.description.abstractA memory model based on 'stage theory', an influential concept of memory from the field of cognitive psychology,is presented for application to autonomous virtual humans. The virtual human senses external stimuli througha synthetic vision system. The vision system incorporates multiple modes of vision in order to accommodate aperceptual attention approach. The memory model is used to store perceived and attended object information atdifferent stages in a filtering process. The methods outlined in this paper have applications in any area wheresimulation-based agents are used: training, entertainment, ergonomics and military simulations to name but afew.ACM CSS: I. 3.7 Computer Graphics-Virtual realityen_US
dc.description.number4en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume21en_US
dc.identifier.doi10.1111/1467-8659.00632en_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages743-752en_US
dc.identifier.urihttps://doi.org/10.1111/1467-8659.00632en_US
dc.publisherBlackwell Publishers, Inc and the Eurographics Associationen_US
dc.titleSynthetic Vision and Memory for Autonomous Virtual Humansen_US
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