| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_3edb9aa141cda1fdc8cb548d0c57f59c |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F2218-12
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V40-176
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7225
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0478
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7264
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-7715
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-774
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2411
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-6269
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-628
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-04842
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-764
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N7-01
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-378
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2431
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-291
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-6814
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N7-005 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-774
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-764
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N7-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-00 |
| filingDate |
2019-05-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate |
2021-02-23-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_872737189ea767831bf2694f42444d72
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7f9ce54532d1cb61c15a2c1a0c6def16 |
| publicationDate |
2021-02-23-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-10925509-B2 |
| titleOfInvention |
System and method for generating visual identity and category reconstruction from electroencephalography (EEG) signals |
| abstract |
There is provided a system and method for generating visual category reconstruction from electroencephalography (EEG) signals. The method includes: receiving scalp EEG signals; using a trained pattern classifier, determining pairwise discrimination of the EEG signals, the pattern classifier trained using a training set comprising EEG signals associated with a subject experiencing different known visual identities; determining discriminability estimates of the pairwise discrimination of the EEG signals by constructing a confusability matrix; generating a multidimensional visual representational space; determining visual features for each dimension of the visual representational space by determining weighted sums of image stimulus properties; identifying subspaces determined to be relevant for reconstruction; and reconstructing the visual appearance of a reconstruction target using estimated coordinates of the target and a summed linear combination of the visual features proportional with the coordinates of the target in the visual representational space. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2023031100-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11733776-B2 |
| priorityDate |
2018-05-28-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |