http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113456065-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B2562-0219 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F2218-08 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7267 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-725 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61F2-72 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-389 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-1118 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61F2-72 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-389 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-11 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00 |
| filingDate | 2021-08-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2022-08-26-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2022-08-26-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-113456065-B |
| titleOfInvention | Body motion recognition method, device, system and readable storage medium |
| abstract | The invention discloses a method for recognizing body movements, which includes obtaining an electromyographic signal and an acceleration signal respectively; performing AR model feature extraction and wavelet analysis feature extraction on the effective electromyographic signal and the effective acceleration signal corresponding to each effective activity time period respectively. and fuzzy entropy feature extraction, and correlate the obtained first EMG feature data, EMG second feature data, EMG third feature data, acceleration first feature data, acceleration second feature data, and acceleration third feature data The fused feature matrix is obtained by analyzing the properties of the fused feature matrix; the fused feature matrix is identified by the pre-created support vector machine, and the body motion information is obtained. The present application uses the fusion feature of three different aspects of the electromyographic signal and the acceleration signal to identify the body motion, which improves the accuracy of the body motion recognition. The present application also provides a body motion recognition device, system, and computer-readable storage medium, which have the above beneficial effects. |
| priorityDate | 2021-08-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 24.