| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_e4463c01a3ae0fffbe8002848c98ac9b |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F2218-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F2218-00 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04W4-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04W4-33
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04W4-021
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04W4-027 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04W4-021
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04W4-02
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04W4-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04W4-33
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 |
| filingDate |
2022-06-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_44a93717b200e84ccff011f4affc343a
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_127c7ae67608b8dc1cd37c48c1124c1d
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_10c89de0a20ee32fb47ec56efde1f461
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4d3b2b5ce362f7fc9efd040d867cb673
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_1484e521d54c925b6b7918ff23c0ef8d
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a52cba821619d92ab885c76b89a7eaf5
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_49a093427eebef820f76bb5220b5fdb6 |
| publicationDate |
2022-07-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
CN-114757237-A |
| titleOfInvention |
A speed-independent gait recognition method based on WiFi signal |
| abstract |
A speed-independent gait recognition method based on a WiFi signal, comprising the following steps: extracting the WiFi CSI amplitude value that changes with time during the walking process of a person; preprocessing the CSI amplitude value; judging whether a person is walking in the environment, and extracting Walking activity segments; convert walking activity segments into time-frequency maps of the same size; build a speed-independent gait recognition model based on DANN, which includes a feature extractor, an identity recognizer and a speed recognizer. The potential features are extracted from the time-frequency map, the identity recognizer is used to predict the identity of the measured target using the features extracted by the feature extractor, and the speed recognizer is used to predict the speed of the measured target using the features extracted by the feature extractor; training speed independent gait Identify the model and output the identity of the object under test. The invention can not only realize the identification of the identity of persons walking at any speed in the environment, but also has a high identification accuracy. |
| priorityDate |
2022-06-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |