Matches in SemOpenAlex for { <https://semopenalex.org/work/W2739518818> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W2739518818 endingPage "32" @default.
- W2739518818 startingPage "17" @default.
- W2739518818 abstract "The aim of this paper is to provide the methods for automatic detection of the difference in gait features depending on a footwear.Artificial neural networks were applied in the study. The gait data were recorded during the walk with different footwear for testing and validation of the proposed method. The gait properties were analyzed considering EMG (electromyography) signals and using two types of artificial neural networks: the learning vector quantization (LVQ) classifying network, and the clustering competitive network.Obtained classification and clustering results were discussed. For comparative studies, velocities of the leg joint trajectories, and accelerations were used. The features indicated by neural networks were compared with the conclusions formulated analyzing the above mentioned trajectories for ankle and knee joints.The matching between experimentally recorded joint trajectories and the results given by neural networks was studied. It was indicated what muscles are most influenced by the footwear, the relation between the footwear type and the muscles work was concluded." @default.
- W2739518818 created "2017-08-08" @default.
- W2739518818 creator A5032091622 @default.
- W2739518818 creator A5084414791 @default.
- W2739518818 date "2017-01-01" @default.
- W2739518818 modified "2023-09-23" @default.
- W2739518818 title "Gait features analysis using artificial neural networks - testing the footwear effect." @default.
- W2739518818 cites W1496497605 @default.
- W2739518818 cites W1518869463 @default.
- W2739518818 cites W1679913846 @default.
- W2739518818 cites W1902231507 @default.
- W2739518818 cites W2005007748 @default.
- W2739518818 cites W2025577990 @default.
- W2739518818 cites W2029949252 @default.
- W2739518818 cites W2040147515 @default.
- W2739518818 cites W2043058016 @default.
- W2739518818 cites W2103215269 @default.
- W2739518818 cites W2107272314 @default.
- W2739518818 cites W2115790233 @default.
- W2739518818 cites W2139814184 @default.
- W2739518818 cites W2144781570 @default.
- W2739518818 cites W2185630127 @default.
- W2739518818 cites W2191554854 @default.
- W2739518818 cites W2537412918 @default.
- W2739518818 cites W47009524 @default.
- W2739518818 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28552925" @default.
- W2739518818 hasPublicationYear "2017" @default.
- W2739518818 type Work @default.
- W2739518818 sameAs 2739518818 @default.
- W2739518818 citedByCount "3" @default.
- W2739518818 countsByYear W27395188182017 @default.
- W2739518818 countsByYear W27395188182019 @default.
- W2739518818 crossrefType "journal-article" @default.
- W2739518818 hasAuthorship W2739518818A5032091622 @default.
- W2739518818 hasAuthorship W2739518818A5084414791 @default.
- W2739518818 hasConcept C142724271 @default.
- W2739518818 hasConcept C151800584 @default.
- W2739518818 hasConcept C153180895 @default.
- W2739518818 hasConcept C154945302 @default.
- W2739518818 hasConcept C2777515770 @default.
- W2739518818 hasConcept C2778640784 @default.
- W2739518818 hasConcept C40567965 @default.
- W2739518818 hasConcept C41008148 @default.
- W2739518818 hasConcept C50644808 @default.
- W2739518818 hasConcept C71924100 @default.
- W2739518818 hasConcept C73555534 @default.
- W2739518818 hasConcept C99508421 @default.
- W2739518818 hasConceptScore W2739518818C142724271 @default.
- W2739518818 hasConceptScore W2739518818C151800584 @default.
- W2739518818 hasConceptScore W2739518818C153180895 @default.
- W2739518818 hasConceptScore W2739518818C154945302 @default.
- W2739518818 hasConceptScore W2739518818C2777515770 @default.
- W2739518818 hasConceptScore W2739518818C2778640784 @default.
- W2739518818 hasConceptScore W2739518818C40567965 @default.
- W2739518818 hasConceptScore W2739518818C41008148 @default.
- W2739518818 hasConceptScore W2739518818C50644808 @default.
- W2739518818 hasConceptScore W2739518818C71924100 @default.
- W2739518818 hasConceptScore W2739518818C73555534 @default.
- W2739518818 hasConceptScore W2739518818C99508421 @default.
- W2739518818 hasIssue "1" @default.
- W2739518818 hasLocation W27395188181 @default.
- W2739518818 hasOpenAccess W2739518818 @default.
- W2739518818 hasPrimaryLocation W27395188181 @default.
- W2739518818 hasRelatedWork W11765363 @default.
- W2739518818 hasRelatedWork W136377616 @default.
- W2739518818 hasRelatedWork W1974609466 @default.
- W2739518818 hasRelatedWork W1998276476 @default.
- W2739518818 hasRelatedWork W2041007276 @default.
- W2739518818 hasRelatedWork W2061300485 @default.
- W2739518818 hasRelatedWork W2084709467 @default.
- W2739518818 hasRelatedWork W2408833662 @default.
- W2739518818 hasRelatedWork W2525857388 @default.
- W2739518818 hasRelatedWork W2621186532 @default.
- W2739518818 hasVolume "19" @default.
- W2739518818 isParatext "false" @default.
- W2739518818 isRetracted "false" @default.
- W2739518818 magId "2739518818" @default.
- W2739518818 workType "article" @default.