http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108606882-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61G2203-18 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61G2203-10 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61G5-10 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61G5-1051 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61G5-10 |
| filingDate | 2018-03-23-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2019-09-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2019-09-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-108606882-B |
| titleOfInvention | Intelligent wheelchair control system based on myoelectricity and acceleration self adaptive control |
| abstract | The invention discloses a kind of intelligent wheelchair control system based on myoelectricity and acceleration self adaptive control, including signal acquisition module, signal processing module and wireless communication module；Signal acquisition module includes electromyographic signal collection unit and acceleration signal acquisition unit, the common extension of fingers of human body forearm, the surface electromyogram signal of musculus extensor carpi ulnaris and brachioradialis are obtained using electromyographic signal collection unit synchronous acquisition, the acceleration signal for obtaining human body forearm is acquired using acceleration signal acquisition unit.The present invention replaces contact control mode with gesture motion, can effectively improve man-machine interaction experience quality and the rehabilitation enthusiasm of rehabilitation crowd. |
| priorityDate | 2018-03-23-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 17.