| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_6bd4720aefb28835b9bfc5ff805f891b |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F2203-011
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-044
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-1128
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61N1-36031 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7246
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61N1-36031
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0245
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F3-015
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-369
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-375
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-377
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0476
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7275
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-165
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-18 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-0476
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F3-01
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61N1-36
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-16 |
| filingDate |
2019-01-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6b2e762fef142f2b12454d3b7532ef26
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5d6ec504f146941332ab2c6922369469 |
| publicationDate |
2019-07-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2019227626-A1 |
| titleOfInvention |
Neuro-adaptive body sensing for user states framework (nabsus) |
| abstract |
Described is a system for personalizing a human-machine interface (HMI) device based on a mental and physical state of a user. During performance of a task in a simulation environment, the system extracts biometric features from data collected from body sensors, and extracts brain entropy features from electroencephalogram (EEG) signals. The brain entropy features are correlated with the biometric features to generate a mental-state model. The mental-state model is deployed in a HMI device during performance of the task in an operational environment for continuous adaptation of the HMI device to its user's mental and physical states. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2022342481-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112734946-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11775066-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2021026754-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-10921887-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/EP-4100816-A4 |
| priorityDate |
2018-01-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |