| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_75cabc5a3095d258872d070ca302234e |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0488 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F3-017
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F3-014
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-6824
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F3-011
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-681
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H20-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T19-003
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-6811
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7405
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G09B19-003
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-296
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-389
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0492 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H20-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G09B19-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T19-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F3-01
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-296
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-00 |
| filingDate |
2020-10-05-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7c6beb3f7c7b01e54ae019b312c43756
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5729311cc89543d77868d637bf9a72ad |
| publicationDate |
2021-02-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2021049928-A1 |
| titleOfInvention |
Prosthetic virtual reality training interface and related methods |
| abstract |
An apparatus comprising an arm band and an electromyographic (EMG) control module is disclosed. The apparatus includes an electromygraphic (EMG) control module configured to receive EMG information generated by an individual; identify a gesture class based on the EMG information, and train using the received EMG information and the gesture class. The gesture class corresponds to an intended gesture made by the individual. |
| priorityDate |
2017-04-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |