FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313476720> ?p ?o ?g. }

• W4313476720 endingPage "2238" @default.
• W4313476720 startingPage "2226" @default.
• W4313476720 abstract "The speech and hearing-impaired community use sign language as the primary means of communication. It is quite challenging for the general population to interpret or learn sign language completely. A sign language recognition system must be designed and developed to address this communication barrier. Most current sign language recognition systems rely on wearable sensors, keeping the recognition system unaffordable for most individuals. Moreover, the existing vision-based sign recognition frameworks do not consider all of the spatial and temporal information required for accurate recognition. A novel vison-based hybrid deep neural net methodology is proposed in this study for recognizing Indian and Russian sign gestures. The proposed framework is aimed to establish a single framework for tracking and extracting multi-semantic properties, such as non-manual components and manual co- articulations. Furthermore, spatial feature extraction from the sign gestures is deployed using a 3D deep neural net with atrous convolutions. The temporal and sequential feature extraction is carried out by employing attention-based Bi-LSTM. In addition, the distinguished abstract feature extraction is done using the modified autoencoders. The discriminative feature extraction for differentiating the sign gestures from unwanted transition gestures is done by leveraging the hybrid attention module. The experimentation of the proposed model has been carried out on the novel multi-signer Indo-Russian sign language dataset. The proposed sign language recognition framework with hybrid neural net yields better results than other state-of-the-art frameworks." @default.
• W4313476720 created "2023-01-06" @default.
• W4313476720 creator A5023705053 @default.
• W4313476720 creator A5053209487 @default.
• W4313476720 creator A5065579469 @default.
• W4313476720 creator A5077770842 @default.
• W4313476720 creator A5081881960 @default.
• W4313476720 creator A5082732185 @default.
• W4313476720 creator A5082853408 @default.
• W4313476720 creator A5085811655 @default.
• W4313476720 creator A5087542455 @default.
• W4313476720 date "2023-01-01" @default.
• W4313476720 modified "2023-10-02" @default.
• W4313476720 title "Multi-Semantic Discriminative Feature Learning for Sign Gesture Recognition Using Hybrid Deep Neural Architecture" @default.
• W4313476720 cites W1578985305 @default.
• W4313476720 cites W1587488778 @default.
• W4313476720 cites W1965498301 @default.
• W4313476720 cites W1969595749 @default.
• W4313476720 cites W1972034101 @default.
• W4313476720 cites W1985891935 @default.
• W4313476720 cites W1990984325 @default.
• W4313476720 cites W2131066723 @default.
• W4313476720 cites W2163946318 @default.
• W4313476720 cites W2172017037 @default.
• W4313476720 cites W2471695703 @default.
• W4313476720 cites W2487792702 @default.
• W4313476720 cites W2547150242 @default.
• W4313476720 cites W2749164842 @default.
• W4313476720 cites W2769602762 @default.
• W4313476720 cites W2791358928 @default.
• W4313476720 cites W2799020610 @default.
• W4313476720 cites W2899058768 @default.
• W4313476720 cites W2915661711 @default.
• W4313476720 cites W2990344286 @default.
• W4313476720 cites W2994871227 @default.
• W4313476720 cites W3009828227 @default.
• W4313476720 cites W3020922019 @default.
• W4313476720 cites W3024516740 @default.
• W4313476720 cites W3027621902 @default.
• W4313476720 cites W3033370963 @default.
• W4313476720 cites W3034269985 @default.
• W4313476720 cites W3043058905 @default.
• W4313476720 cites W3079842117 @default.
• W4313476720 cites W3082666011 @default.
• W4313476720 cites W3110101899 @default.
• W4313476720 cites W3114333203 @default.
• W4313476720 cites W3120017044 @default.
• W4313476720 cites W3135189994 @default.
• W4313476720 cites W3135585008 @default.
• W4313476720 cites W3137522674 @default.
• W4313476720 cites W3152812289 @default.
• W4313476720 cites W3165440314 @default.
• W4313476720 cites W3184215204 @default.
• W4313476720 cites W3203982291 @default.
• W4313476720 cites W3207627439 @default.
• W4313476720 cites W4224257285 @default.
• W4313476720 doi "https://doi.org/10.1109/access.2022.3233671" @default.
• W4313476720 hasPublicationYear "2023" @default.
• W4313476720 type Work @default.
• W4313476720 citedByCount "2" @default.
• W4313476720 countsByYear W43134767202023 @default.
• W4313476720 crossrefType "journal-article" @default.
• W4313476720 hasAuthorship W4313476720A5023705053 @default.
• W4313476720 hasAuthorship W4313476720A5053209487 @default.
• W4313476720 hasAuthorship W4313476720A5065579469 @default.
• W4313476720 hasAuthorship W4313476720A5077770842 @default.
• W4313476720 hasAuthorship W4313476720A5081881960 @default.
• W4313476720 hasAuthorship W4313476720A5082732185 @default.
• W4313476720 hasAuthorship W4313476720A5082853408 @default.
• W4313476720 hasAuthorship W4313476720A5085811655 @default.
• W4313476720 hasAuthorship W4313476720A5087542455 @default.
• W4313476720 hasBestOaLocation W43134767201 @default.
• W4313476720 hasConcept C108583219 @default.
• W4313476720 hasConcept C138885662 @default.
• W4313476720 hasConcept C153180895 @default.
• W4313476720 hasConcept C154945302 @default.
• W4313476720 hasConcept C159437735 @default.
• W4313476720 hasConcept C207347870 @default.
• W4313476720 hasConcept C23224414 @default.
• W4313476720 hasConcept C2776401178 @default.
• W4313476720 hasConcept C28490314 @default.
• W4313476720 hasConcept C41008148 @default.
• W4313476720 hasConcept C41895202 @default.
• W4313476720 hasConcept C50644808 @default.
• W4313476720 hasConcept C522192633 @default.
• W4313476720 hasConcept C52622490 @default.
• W4313476720 hasConcept C97931131 @default.
• W4313476720 hasConceptScore W4313476720C108583219 @default.
• W4313476720 hasConceptScore W4313476720C138885662 @default.
• W4313476720 hasConceptScore W4313476720C153180895 @default.
• W4313476720 hasConceptScore W4313476720C154945302 @default.
• W4313476720 hasConceptScore W4313476720C159437735 @default.
• W4313476720 hasConceptScore W4313476720C207347870 @default.
• W4313476720 hasConceptScore W4313476720C23224414 @default.
• W4313476720 hasConceptScore W4313476720C2776401178 @default.
• W4313476720 hasConceptScore W4313476720C28490314 @default.
• W4313476720 hasConceptScore W4313476720C41008148 @default.
• W4313476720 hasConceptScore W4313476720C41895202 @default.

• next