http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-106781283-B

Outgoing Links

Predicate Object
classificationCPCAdditional http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B2503-22
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G08B21-06
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-389
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-0488
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G08B21-06
filingDate 2016-12-29-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2019-04-05-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationDate 2019-04-05-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-106781283-B
titleOfInvention A kind of method for detecting fatigue driving based on soft set
abstract The invention discloses a kind of method for detecting fatigue driving based on soft set, comprising the following steps: S1 acquires surface electromyogram signal of the default muscle sites in predetermined time of driver;S2 extracts and analyzes the muscular states feature of the surface electromyogram signal;S3 establishes the tired quantitative model based on soft set according to the electromyography signal extracted;Fatigue driving decision content is calculated according to the tired quantitative model based on soft set in S4.The present invention passes through acquisition driver's surface electromyogram signal, and after carrying out analysis pretreatment to surface electromyogram signal, analyze the abnormal data in signal, Analysis of Policy Making is carried out to the surface electromyogram signal of driver, the degree of fatigue of each period driver is obtained, so as to analyze the tired decrease speed of driver;It is realized when guaranteeing that key message retains, and is analyzed data, is simplified and decision, can substantially reduce the knowledge representation space dimensionality of object.To the selection unrestriction of parameter.
priorityDate 2016-12-29-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

Predicate Subject
isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID448540569
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID6202

Total number of triples: 15.