Matches in SemOpenAlex for { <https://semopenalex.org/work/W2560095384> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W2560095384 endingPage "142" @default.
- W2560095384 startingPage "133" @default.
- W2560095384 abstract "In this paper, a new effective method was proposed to recognize human actions based on RGBD data sensed by a depth camera, namely Microsoft Kinect. Skeleton data extracted from depth images was utilized to generate 10 direction features which represent specific body parts and 11 position features which represent specific human joints. The fusion features composed of both was used to represent a human posture. An algorithm based on the difference level of adjacent postures was presented to select the key postures from an action. Finally, the action features, composed of the key postures’ features, were classified and recognized by a multiclass Support Vector Machine. Our major contributions are proposing a new framework to recognize the users’ actions and a simple and effective method to select the key postures. The recognition results in the KARD dataset and the Florence 3D Action dataset show that our approach significantly outperforms the compared methods." @default.
- W2560095384 created "2016-12-16" @default.
- W2560095384 creator A5032447166 @default.
- W2560095384 creator A5086473281 @default.
- W2560095384 creator A5087306292 @default.
- W2560095384 date "2016-01-01" @default.
- W2560095384 modified "2023-10-16" @default.
- W2560095384 title "3D Human Activity Recognition Using Skeletal Data from RGBD Sensors" @default.
- W2560095384 cites W198154524 @default.
- W2560095384 cites W1992526082 @default.
- W2560095384 cites W2007057255 @default.
- W2560095384 cites W2008824967 @default.
- W2560095384 cites W2019075073 @default.
- W2560095384 cites W2052648922 @default.
- W2560095384 cites W2077309078 @default.
- W2560095384 cites W2085735683 @default.
- W2560095384 cites W2126184431 @default.
- W2560095384 cites W2153635508 @default.
- W2560095384 cites W2329727130 @default.
- W2560095384 doi "https://doi.org/10.1007/978-3-319-50832-0_14" @default.
- W2560095384 hasPublicationYear "2016" @default.
- W2560095384 type Work @default.
- W2560095384 sameAs 2560095384 @default.
- W2560095384 citedByCount "7" @default.
- W2560095384 countsByYear W25600953842017 @default.
- W2560095384 countsByYear W25600953842020 @default.
- W2560095384 countsByYear W25600953842021 @default.
- W2560095384 countsByYear W25600953842022 @default.
- W2560095384 countsByYear W25600953842023 @default.
- W2560095384 crossrefType "book-chapter" @default.
- W2560095384 hasAuthorship W2560095384A5032447166 @default.
- W2560095384 hasAuthorship W2560095384A5086473281 @default.
- W2560095384 hasAuthorship W2560095384A5087306292 @default.
- W2560095384 hasConcept C121332964 @default.
- W2560095384 hasConcept C12267149 @default.
- W2560095384 hasConcept C153180895 @default.
- W2560095384 hasConcept C154945302 @default.
- W2560095384 hasConcept C26517878 @default.
- W2560095384 hasConcept C2777212361 @default.
- W2560095384 hasConcept C2777846634 @default.
- W2560095384 hasConcept C2780791683 @default.
- W2560095384 hasConcept C2987834672 @default.
- W2560095384 hasConcept C31972630 @default.
- W2560095384 hasConcept C38652104 @default.
- W2560095384 hasConcept C41008148 @default.
- W2560095384 hasConcept C62520636 @default.
- W2560095384 hasConceptScore W2560095384C121332964 @default.
- W2560095384 hasConceptScore W2560095384C12267149 @default.
- W2560095384 hasConceptScore W2560095384C153180895 @default.
- W2560095384 hasConceptScore W2560095384C154945302 @default.
- W2560095384 hasConceptScore W2560095384C26517878 @default.
- W2560095384 hasConceptScore W2560095384C2777212361 @default.
- W2560095384 hasConceptScore W2560095384C2777846634 @default.
- W2560095384 hasConceptScore W2560095384C2780791683 @default.
- W2560095384 hasConceptScore W2560095384C2987834672 @default.
- W2560095384 hasConceptScore W2560095384C31972630 @default.
- W2560095384 hasConceptScore W2560095384C38652104 @default.
- W2560095384 hasConceptScore W2560095384C41008148 @default.
- W2560095384 hasConceptScore W2560095384C62520636 @default.
- W2560095384 hasLocation W25600953841 @default.
- W2560095384 hasOpenAccess W2560095384 @default.
- W2560095384 hasPrimaryLocation W25600953841 @default.
- W2560095384 hasRelatedWork W2041399278 @default.
- W2560095384 hasRelatedWork W2056016498 @default.
- W2560095384 hasRelatedWork W2136184105 @default.
- W2560095384 hasRelatedWork W2144724818 @default.
- W2560095384 hasRelatedWork W2336974148 @default.
- W2560095384 hasRelatedWork W2389470892 @default.
- W2560095384 hasRelatedWork W3013515612 @default.
- W2560095384 hasRelatedWork W3131297908 @default.
- W2560095384 hasRelatedWork W2187500075 @default.
- W2560095384 hasRelatedWork W2345184372 @default.
- W2560095384 isParatext "false" @default.
- W2560095384 isRetracted "false" @default.
- W2560095384 magId "2560095384" @default.
- W2560095384 workType "book-chapter" @default.