Matches in SemOpenAlex for { <https://semopenalex.org/work/W2795950241> ?p ?o ?g. }
Showing items 1 to 76 of
76
with 100 items per page.
- W2795950241 abstract "This paper proposes a novel artificial neural network based method for real-time gait analysis with minimal number of Inertial Measurement Units (IMUs). Accurate lower limb attitude estimation has great potential for clinical gait diagnosis for orthopaedic patients and patients with neurological diseases. However, the use of multiple wearable sensors hinder the ubiquitous use of inertial sensors for detailed gait analysis. This paper proposes the use of two IMUs mounted on the shoes to estimate the IMU signals at the shin, thigh and waist for accurate attitude estimation of the lower limbs. By using the artificial neural network framework, the gait parameters, such as angle, velocity and displacements of the IMUs can be estimated. The experimental results have shown that the proposed method can accurately estimate the IMUs signals on the lower limbs based only on the IMU signals on the shoes, which demonstrates its potential for lower limb motion tracking and real-time gait analysis." @default.
- W2795950241 created "2018-04-13" @default.
- W2795950241 creator A5059787157 @default.
- W2795950241 creator A5063187094 @default.
- W2795950241 creator A5085036036 @default.
- W2795950241 date "2018-03-01" @default.
- W2795950241 modified "2023-10-10" @default.
- W2795950241 title "An artificial neural network framework for lower limb motion signal estimation with foot-mounted inertial sensors" @default.
- W2795950241 cites W1533641055 @default.
- W2795950241 cites W1609740902 @default.
- W2795950241 cites W1672989677 @default.
- W2795950241 cites W2060646110 @default.
- W2795950241 cites W2104106974 @default.
- W2795950241 cites W2320650354 @default.
- W2795950241 cites W2504320331 @default.
- W2795950241 cites W2526225066 @default.
- W2795950241 cites W2620878397 @default.
- W2795950241 doi "https://doi.org/10.1109/bsn.2018.8329676" @default.
- W2795950241 hasPublicationYear "2018" @default.
- W2795950241 type Work @default.
- W2795950241 sameAs 2795950241 @default.
- W2795950241 citedByCount "6" @default.
- W2795950241 countsByYear W27959502412019 @default.
- W2795950241 countsByYear W27959502412022 @default.
- W2795950241 countsByYear W27959502412023 @default.
- W2795950241 crossrefType "proceedings-article" @default.
- W2795950241 hasAuthorship W2795950241A5059787157 @default.
- W2795950241 hasAuthorship W2795950241A5063187094 @default.
- W2795950241 hasAuthorship W2795950241A5085036036 @default.
- W2795950241 hasBestOaLocation W27959502412 @default.
- W2795950241 hasConcept C104114177 @default.
- W2795950241 hasConcept C115076146 @default.
- W2795950241 hasConcept C121332964 @default.
- W2795950241 hasConcept C138885662 @default.
- W2795950241 hasConcept C154945302 @default.
- W2795950241 hasConcept C173386949 @default.
- W2795950241 hasConcept C199360897 @default.
- W2795950241 hasConcept C2779843651 @default.
- W2795950241 hasConcept C31972630 @default.
- W2795950241 hasConcept C41008148 @default.
- W2795950241 hasConcept C41895202 @default.
- W2795950241 hasConcept C50644808 @default.
- W2795950241 hasConcept C62520636 @default.
- W2795950241 hasConcept C79061980 @default.
- W2795950241 hasConceptScore W2795950241C104114177 @default.
- W2795950241 hasConceptScore W2795950241C115076146 @default.
- W2795950241 hasConceptScore W2795950241C121332964 @default.
- W2795950241 hasConceptScore W2795950241C138885662 @default.
- W2795950241 hasConceptScore W2795950241C154945302 @default.
- W2795950241 hasConceptScore W2795950241C173386949 @default.
- W2795950241 hasConceptScore W2795950241C199360897 @default.
- W2795950241 hasConceptScore W2795950241C2779843651 @default.
- W2795950241 hasConceptScore W2795950241C31972630 @default.
- W2795950241 hasConceptScore W2795950241C41008148 @default.
- W2795950241 hasConceptScore W2795950241C41895202 @default.
- W2795950241 hasConceptScore W2795950241C50644808 @default.
- W2795950241 hasConceptScore W2795950241C62520636 @default.
- W2795950241 hasConceptScore W2795950241C79061980 @default.
- W2795950241 hasLocation W27959502411 @default.
- W2795950241 hasLocation W27959502412 @default.
- W2795950241 hasOpenAccess W2795950241 @default.
- W2795950241 hasPrimaryLocation W27959502411 @default.
- W2795950241 hasRelatedWork W201666287 @default.
- W2795950241 hasRelatedWork W2125501610 @default.
- W2795950241 hasRelatedWork W2333544554 @default.
- W2795950241 hasRelatedWork W2411412724 @default.
- W2795950241 hasRelatedWork W2525898101 @default.
- W2795950241 hasRelatedWork W2560232609 @default.
- W2795950241 hasRelatedWork W2889530985 @default.
- W2795950241 hasRelatedWork W2890689110 @default.
- W2795950241 hasRelatedWork W4205657394 @default.
- W2795950241 hasRelatedWork W4248398246 @default.
- W2795950241 isParatext "false" @default.
- W2795950241 isRetracted "false" @default.
- W2795950241 magId "2795950241" @default.
- W2795950241 workType "article" @default.