Matches in SemOpenAlex for { <https://semopenalex.org/work/W4308128263> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W4308128263 endingPage "520" @default.
- W4308128263 startingPage "520" @default.
- W4308128263 abstract "Human posture classification (HPC) is the process of identifying a human pose from a still image or moving image that was recorded by a digicam. This makes it easier to keep a record of people’s postures, which is helpful for many things. The intricate surroundings that are depicted in the image, such as occlusion and the camera view angle, make HPC a difficult process. Consequently, the development of a reliable HPC system is essential. This study proposes the “DeneSVM”, an innovative deep transfer learning-based classification model that pulls characteristics from image datasets to detect and classify human postures. The paradigm is intended to classify the four primary postures of lying, bending, sitting, and standing. These positions are classes of sitting, bending, lying, and standing. The Silhouettes for Human Posture Recognition dataset has been used to train, validate, test, and analyze the suggested model. The DeneSVM model attained the highest test precision (94.72%), validation accuracy (93.79%) and training accuracy (97.06%). When the efficiency of the suggested model was validated using the testing dataset, it too had a good accuracy of 95%." @default.
- W4308128263 created "2022-11-08" @default.
- W4308128263 creator A5039508726 @default.
- W4308128263 creator A5042653526 @default.
- W4308128263 creator A5064136287 @default.
- W4308128263 creator A5071054943 @default.
- W4308128263 date "2022-10-31" @default.
- W4308128263 modified "2023-10-05" @default.
- W4308128263 title "A Novel Deep Transfer Learning Approach Based on Depth-Wise Separable CNN for Human Posture Detection" @default.
- W4308128263 cites W2013970200 @default.
- W4308128263 cites W2112796928 @default.
- W4308128263 cites W2142194269 @default.
- W4308128263 cites W2165698076 @default.
- W4308128263 cites W2233129393 @default.
- W4308128263 cites W2302255633 @default.
- W4308128263 cites W2470368200 @default.
- W4308128263 cites W2473156356 @default.
- W4308128263 cites W2498672755 @default.
- W4308128263 cites W2898693178 @default.
- W4308128263 cites W2904273371 @default.
- W4308128263 cites W2966789410 @default.
- W4308128263 cites W3038010422 @default.
- W4308128263 cites W3088428904 @default.
- W4308128263 cites W3175154055 @default.
- W4308128263 cites W3176930966 @default.
- W4308128263 cites W3208470884 @default.
- W4308128263 cites W3209455776 @default.
- W4308128263 cites W4200599415 @default.
- W4308128263 cites W4280535922 @default.
- W4308128263 cites W4283654808 @default.
- W4308128263 cites W4287385009 @default.
- W4308128263 cites W4304128395 @default.
- W4308128263 doi "https://doi.org/10.3390/info13110520" @default.
- W4308128263 hasPublicationYear "2022" @default.
- W4308128263 type Work @default.
- W4308128263 citedByCount "7" @default.
- W4308128263 countsByYear W43081282632023 @default.
- W4308128263 crossrefType "journal-article" @default.
- W4308128263 hasAuthorship W4308128263A5039508726 @default.
- W4308128263 hasAuthorship W4308128263A5042653526 @default.
- W4308128263 hasAuthorship W4308128263A5064136287 @default.
- W4308128263 hasAuthorship W4308128263A5071054943 @default.
- W4308128263 hasBestOaLocation W43081282631 @default.
- W4308128263 hasConcept C108583219 @default.
- W4308128263 hasConcept C111919701 @default.
- W4308128263 hasConcept C115961682 @default.
- W4308128263 hasConcept C119421448 @default.
- W4308128263 hasConcept C126838900 @default.
- W4308128263 hasConcept C142724271 @default.
- W4308128263 hasConcept C150899416 @default.
- W4308128263 hasConcept C153180895 @default.
- W4308128263 hasConcept C154945302 @default.
- W4308128263 hasConcept C2776370487 @default.
- W4308128263 hasConcept C31972630 @default.
- W4308128263 hasConcept C41008148 @default.
- W4308128263 hasConcept C71924100 @default.
- W4308128263 hasConcept C98045186 @default.
- W4308128263 hasConceptScore W4308128263C108583219 @default.
- W4308128263 hasConceptScore W4308128263C111919701 @default.
- W4308128263 hasConceptScore W4308128263C115961682 @default.
- W4308128263 hasConceptScore W4308128263C119421448 @default.
- W4308128263 hasConceptScore W4308128263C126838900 @default.
- W4308128263 hasConceptScore W4308128263C142724271 @default.
- W4308128263 hasConceptScore W4308128263C150899416 @default.
- W4308128263 hasConceptScore W4308128263C153180895 @default.
- W4308128263 hasConceptScore W4308128263C154945302 @default.
- W4308128263 hasConceptScore W4308128263C2776370487 @default.
- W4308128263 hasConceptScore W4308128263C31972630 @default.
- W4308128263 hasConceptScore W4308128263C41008148 @default.
- W4308128263 hasConceptScore W4308128263C71924100 @default.
- W4308128263 hasConceptScore W4308128263C98045186 @default.
- W4308128263 hasIssue "11" @default.
- W4308128263 hasLocation W43081282631 @default.
- W4308128263 hasLocation W43081282632 @default.
- W4308128263 hasOpenAccess W4308128263 @default.
- W4308128263 hasPrimaryLocation W43081282631 @default.
- W4308128263 hasRelatedWork W2551012455 @default.
- W4308128263 hasRelatedWork W2889705046 @default.
- W4308128263 hasRelatedWork W3018421652 @default.
- W4308128263 hasRelatedWork W3091976719 @default.
- W4308128263 hasRelatedWork W3192840557 @default.
- W4308128263 hasRelatedWork W3195938642 @default.
- W4308128263 hasRelatedWork W4213299466 @default.
- W4308128263 hasRelatedWork W4292874285 @default.
- W4308128263 hasRelatedWork W4312200629 @default.
- W4308128263 hasRelatedWork W4382286161 @default.
- W4308128263 hasVolume "13" @default.
- W4308128263 isParatext "false" @default.
- W4308128263 isRetracted "false" @default.
- W4308128263 workType "article" @default.