GENERATING AND USING A PREDICTIVE VIRTUAL PERSONFICATION
First Claim
1. A method for generating a predictive virtual personification comprises:
- receiving, from an AV data source, one or more AV data sets;
locating within each AV data set, with a saliency recognition engine, a graphical representation of a donor subject and a set of saliency regions of interest (SROI) within said graphical representation of the donor subject;
identifying one or more trigger stimulus events, wherein each trigger stimulus events precedes or is contemporaneous with one or more SROI specific reactive responses and each SROI specific reactive response is observable within a SROI;
generating, for each SROI, a set of SROI specific saliency maps, wherein each SROI specific saliency map plots a change in geospatial orientation of one or more SROIs within a predetermined time-frame corresponding to each trigger stimulus event; and
storing, in a data store, a set of correlated SROI specific saliency maps generated by correlating each SROI specific saliency map a corresponding trigger event.
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Abstract
A system for generating a predictive virtual personification includes receiving, from an AV data source, a data store, and a saliency recognition engine, wherein the AV data source is configured to transmit one or more AV data sets to the saliency recognition engine, each AV data set includes a graphical representation of a donor subject, and the saliency recognition engine is configured to receive the AV data set and one or more identified trigger stimulus events, locate a set of saliency regions of interest (SROI) within the graphical representation of the donor subject, generate a set of SROI specific saliency maps and store, in the data store, a set of correlated SROI specific saliency maps generated by correlating each SROI specific saliency map a corresponding trigger event.
41 Citations
20 Claims
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1. A method for generating a predictive virtual personification comprises:
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receiving, from an AV data source, one or more AV data sets; locating within each AV data set, with a saliency recognition engine, a graphical representation of a donor subject and a set of saliency regions of interest (SROI) within said graphical representation of the donor subject; identifying one or more trigger stimulus events, wherein each trigger stimulus events precedes or is contemporaneous with one or more SROI specific reactive responses and each SROI specific reactive response is observable within a SROI; generating, for each SROI, a set of SROI specific saliency maps, wherein each SROI specific saliency map plots a change in geospatial orientation of one or more SROIs within a predetermined time-frame corresponding to each trigger stimulus event; and storing, in a data store, a set of correlated SROI specific saliency maps generated by correlating each SROI specific saliency map a corresponding trigger event. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A system for generating a predictive virtual personification comprises:
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an AV data source, a data store, and a saliency recognition engine; wherein the AV data source is configured to transmit one or more AV data sets to the saliency recognition engine, each AV data set comprising a graphical representation of a donor subject; and the saliency recognition engine comprises a non-volatile computer readable media with a computer program stored thereon, the computer program configured to receive the AV data set and one or more identified trigger stimulus events, wherein each identified trigger stimulus events precedes or is contemporaneous with one or more SROI specific reactive responses and each SROI specific reactive response is observable within an SROI; locate a set of saliency regions of interest (SROI) within the graphical representation of the donor subject; generate, for each SROI, a set of SROI specific saliency maps, wherein each SROI specific saliency map plots a change in geospatial orientation of one or more SROIs within a predetermined time-frame corresponding to each trigger stimulus event; and store, in the data store, a set of correlated SROI specific saliency maps generated by correlating each SROI specific saliency map a corresponding trigger event. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20)
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Specification