http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109199414-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-165 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7264 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-378 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-38 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-16 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-0484 |
| filingDate | 2018-10-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2020-11-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2020-11-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-109199414-B |
| titleOfInvention | Audio-visual evoked emotion recognition method and system based on electroencephalogram signals |
| abstract | The invention provides an audio-visual evoked emotion recognition method and system based on electroencephalogram signals, wherein the method comprises the following steps: firstly, acquiring electroencephalogram signals generated based on audio-visual induction, and preprocessing the electroencephalogram signals through a band-pass filter; then carrying out non-uniform sampling multi-element empirical mode decomposition on the multi-channel electroencephalogram signal, and selecting an effective inherent mode function to extract emotional electroencephalogram signal characteristics; then, a sequence floating forward selection method is used as a search strategy for selecting and deleting a feature set, and the extracted emotion electroencephalogram signal features are screened by combining a filter and a wrapper as evaluation criteria of an optimal feature subset; and inputting the selected feature subset into a support vector machine for classification to obtain a classification result, and finally obtaining an emotion recognition result according to the classification result to realize emotion recognition. According to the emotion recognition method, the emotion recognition method research of multiple types of induction modes is developed on the basis of exploring emotion electroencephalogram rules, and the recognition accuracy is effectively improved. |
| priorityDate | 2018-10-30-04:00^^<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/SID419479910 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID5709 |
Total number of triples: 16.