http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-102228569-B1
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-1032 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-442 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-443 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-103 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-00 |
| filingDate | 2019-04-16-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2021-03-16-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2021-03-16-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | KR-102228569-B1 |
| titleOfInvention | Method and apparatus for estimating age of skin |
| abstract | The method for estimating skin age according to an embodiment of the present invention includes the steps of obtaining parameter values for each of a plurality of factors of the user's skin, and the plurality of regression analysis equations or the plurality of plans obtained in relation to the plurality of human skins. Estimating at least one of the user's skin age, skin wrinkle age, and skin color age from the obtained parameter values based on a machine learning algorithm learned using a database including parameter values for each of the factors of Including, the plurality of factors may include skin wrinkles, skin elasticity, skin moisture content, skin brightness, and skin pigment. |
| priorityDate | 2019-04-16-04:00^^<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/compound/CID6714002 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419591017 |
Total number of triples: 15.