Matches in SemOpenAlex for { <https://semopenalex.org/work/W2999673169> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W2999673169 abstract "Unexpected falls can result in severe injuries to disabled individuals who can barely maintain the balance of themselves. In this paper, a deep learning-based method for fall detection on the rehabilitation walking-aid robot was proposed. The goal of this method is to provide a real-time detector for the walking-aid robot so it can take preventive measures when the fall happened. The deep neural network with error back propagation to update the weight of each feature. The data set used in this paper was obtained upon the prototype of a walking-aid robot. The real-time motion data of the user's waist can be obtained by multiple sensors mounted on the walking-aid robot. Extract the motion features from the acquired data and tag it as normal or abnormal (potential to falling) feature, these two parts of data compose to a sample. Divide the whole data set into two parts to train and test the neural network. It turns out the accuracy of this trained neural network can be 95.8%. In the end, the effect of the parameter and hyper-parameters of the neural network was discussed." @default.
- W2999673169 created "2020-01-23" @default.
- W2999673169 creator A5089843079 @default.
- W2999673169 date "2019-08-01" @default.
- W2999673169 modified "2023-09-27" @default.
- W2999673169 title "Deep Learning Using for Fall Detection on the Rehabilitation Walking-Aid Robot" @default.
- W2999673169 cites W1823588389 @default.
- W2999673169 cites W2081052120 @default.
- W2999673169 doi "https://doi.org/10.1109/ihmsc.2019.10141" @default.
- W2999673169 hasPublicationYear "2019" @default.
- W2999673169 type Work @default.
- W2999673169 sameAs 2999673169 @default.
- W2999673169 citedByCount "0" @default.
- W2999673169 crossrefType "proceedings-article" @default.
- W2999673169 hasAuthorship W2999673169A5089843079 @default.
- W2999673169 hasConcept C108583219 @default.
- W2999673169 hasConcept C121332964 @default.
- W2999673169 hasConcept C1276947 @default.
- W2999673169 hasConcept C13662910 @default.
- W2999673169 hasConcept C138885662 @default.
- W2999673169 hasConcept C154945302 @default.
- W2999673169 hasConcept C155032097 @default.
- W2999673169 hasConcept C16910744 @default.
- W2999673169 hasConcept C177264268 @default.
- W2999673169 hasConcept C199360897 @default.
- W2999673169 hasConcept C2776401178 @default.
- W2999673169 hasConcept C2779079380 @default.
- W2999673169 hasConcept C31972630 @default.
- W2999673169 hasConcept C41008148 @default.
- W2999673169 hasConcept C41895202 @default.
- W2999673169 hasConcept C44154836 @default.
- W2999673169 hasConcept C50644808 @default.
- W2999673169 hasConcept C58489278 @default.
- W2999673169 hasConcept C71924100 @default.
- W2999673169 hasConcept C90509273 @default.
- W2999673169 hasConcept C99454951 @default.
- W2999673169 hasConceptScore W2999673169C108583219 @default.
- W2999673169 hasConceptScore W2999673169C121332964 @default.
- W2999673169 hasConceptScore W2999673169C1276947 @default.
- W2999673169 hasConceptScore W2999673169C13662910 @default.
- W2999673169 hasConceptScore W2999673169C138885662 @default.
- W2999673169 hasConceptScore W2999673169C154945302 @default.
- W2999673169 hasConceptScore W2999673169C155032097 @default.
- W2999673169 hasConceptScore W2999673169C16910744 @default.
- W2999673169 hasConceptScore W2999673169C177264268 @default.
- W2999673169 hasConceptScore W2999673169C199360897 @default.
- W2999673169 hasConceptScore W2999673169C2776401178 @default.
- W2999673169 hasConceptScore W2999673169C2779079380 @default.
- W2999673169 hasConceptScore W2999673169C31972630 @default.
- W2999673169 hasConceptScore W2999673169C41008148 @default.
- W2999673169 hasConceptScore W2999673169C41895202 @default.
- W2999673169 hasConceptScore W2999673169C44154836 @default.
- W2999673169 hasConceptScore W2999673169C50644808 @default.
- W2999673169 hasConceptScore W2999673169C58489278 @default.
- W2999673169 hasConceptScore W2999673169C71924100 @default.
- W2999673169 hasConceptScore W2999673169C90509273 @default.
- W2999673169 hasConceptScore W2999673169C99454951 @default.
- W2999673169 hasLocation W29996731691 @default.
- W2999673169 hasOpenAccess W2999673169 @default.
- W2999673169 hasPrimaryLocation W29996731691 @default.
- W2999673169 hasRelatedWork W1504288058 @default.
- W2999673169 hasRelatedWork W2000407620 @default.
- W2999673169 hasRelatedWork W2012689841 @default.
- W2999673169 hasRelatedWork W2091769334 @default.
- W2999673169 hasRelatedWork W2167293474 @default.
- W2999673169 hasRelatedWork W2331674254 @default.
- W2999673169 hasRelatedWork W2997155179 @default.
- W2999673169 hasRelatedWork W3042897387 @default.
- W2999673169 hasRelatedWork W3135485313 @default.
- W2999673169 hasRelatedWork W3135495491 @default.
- W2999673169 isParatext "false" @default.
- W2999673169 isRetracted "false" @default.
- W2999673169 magId "2999673169" @default.
- W2999673169 workType "article" @default.