http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-105559760-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-11 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-01 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-369 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0205 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-02055 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-389 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-1455 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-1103 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-0476 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-1455 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-0205 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-01 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-11 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-0488 |
| filingDate | 2015-12-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2018-10-19-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2018-10-19-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-105559760-B |
| titleOfInvention | The personal mode identification method of helmet |
| abstract | The invention discloses a kind of personal mode identification methods of helmet, including helmet ontology, microcomputer and the brain wave sensor being connected with the microcomputer, brain blood oxygen pulse transducer, pupil tracking sensor, light sensation blood pressure sensor, muscle electric transducer, microphone, body temperature transducer, perspiration sensor, three-dimensional gyroscope, three-dimensional accelerometer, magnetic field sensor are equipped on the helmet ontology, specific method includes data acquisition, microcomputer analysis data, parametric classification and personal pattern systhesis quantization；Transmit one or more combination scenes as needed by microcomputer.Easy to use and comfort level and compactness of the invention are high, and integrated multiple sensors, it can complete the acquisition and analysis to human body different characteristic point data, to substantially increase the precision and stability of personal pattern-recognition, and the application of its scene is abundant, its applicability and practicability are substantially increased, the comprehensive sign of human body and strong applicability can be accurately obtained. |
| priorityDate | 2015-12-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 26.