http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CA-2507290-A1
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_207aae3b2cfa29145c81a9e48f3e6f83 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V30-32 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V30-224 |
| filingDate | 2005-05-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_dbf08dee261c3d9d398963d743c0c0d9 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_11426cb79002abb7e3bb97531a803f76 |
| publicationDate | 2006-11-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CA-2507290-A1 |
| titleOfInvention | System and method of gesture feature recognition |
| abstract | A gesture feature recognition system and method is provided. The gesture feature recognition system comprises an input/output component for recording pen strokes and for displaying them as strokes on a display device, a repository for storing gesture recognition data and a recognizer component for analyzing the strokes using the gesture recognition data. The method comprises the steps of receiving input data that represents the stroke sequence of handwritten characters and symbols, comparing the input data to a predefined symbol set stored in a repository, identifying characters and symbols present in the input data, and identifying the location of relevant features of the characters and symbols. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2015038985-A1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-105518581-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-9405375-B2 |
| priorityDate | 2005-05-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 21.