| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_77bc123b2453710e4ec211ed629c407c |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V40-15
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-46
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H30-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H30-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-82
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H15-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-70
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V40-161 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H15-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V20-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-82
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V40-16
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H30-40 |
| filingDate |
2022-04-26-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c21346589cc8ad4d86b0249b7a04d142
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f8cf1822fa99387758b355b64b50c691 |
| publicationDate |
2022-08-11-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2022254502-A1 |
| titleOfInvention |
System, method and apparatus for non-invasive & non-contact monitoring of health racterstics using artificial intelligence (ai) |
| abstract |
A non-contact and non-invasive apparatus and method for monitoring of health characteristics of a user. The apparatus includes one or more cameras and processor for real-time video of the user and for processing at least each frame from the obtained real-time video. One or more facial regions are from each processed frame to extract one or more regions of interest present therein. The extracted regions of interest are at least one image based physiological monitoring model along with one or more Photo plethysmography imaging (iPPG) and Optical Coherence Tomography (OCT) variations to process one or more extracted regions of interest and obtain at least one result indicative of the health characteristics of the of user based on the real-time video by using Convolutional Neural Network algorithm. The method can be implemented as an AI based software or a platform. A report can be generated for warning for any abnormal range. |
| priorityDate |
2021-04-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |