FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4323060177> ?p ?o ?g. }

• W4323060177 abstract "The COVID-19 pandemic has obligated people to adopt the virtual lifestyle. Currently, the use of videoconferencing to conduct business meetings is prevalent owing to the numerous benefits it presents. However, a large number of people with speech impediment find themselves handicapped to the new normal as they cannot communicate their ideas effectively, especially in fast paced meetings. Therefore, this paper aims to introduce an enriched dataset using an action recognition method with the most common phrases translated into American Sign Language (ASL) that are routinely used in professional meetings. It further proposes a sign language detecting and classifying model employing deep learning architectures, namely, CNN and LSTM. The performances of these models are analysed by employing different performance metrics like accuracy, recall, F1- Score and Precision. CNN and LSTM models yield an accuracy of 93.75% and 96.54% respectively, after being trained with the dataset introduced in this study. Therefore, the incorporation of the LSTM model into different cloud services, virtual private networks and softwares will allow people with speech impairment to use sign language, which will automatically be translated into captions using moving camera circumstances in real time. This will in turn equip other people with the tool to understand and grasp the message that is being conveyed and easily discuss and effectuate the ideas." @default.
• W4323060177 created "2023-03-05" @default.
• W4323060177 creator A5016247669 @default.
• W4323060177 creator A5020300760 @default.
• W4323060177 creator A5029893891 @default.
• W4323060177 creator A5041451795 @default.
• W4323060177 creator A5053829375 @default.
• W4323060177 creator A5054168250 @default.
• W4323060177 creator A5075262500 @default.
• W4323060177 creator A5078802402 @default.
• W4323060177 date "2022-12-17" @default.
• W4323060177 modified "2023-09-27" @default.
• W4323060177 title "Continuous Sign Language Interpretation to Text Using Deep Learning Models" @default.
• W4323060177 cites W2031898746 @default.
• W4323060177 cites W2518448700 @default.
• W4323060177 cites W2612429929 @default.
• W4323060177 cites W2908497602 @default.
• W4323060177 cites W2912886600 @default.
• W4323060177 cites W2954640990 @default.
• W4323060177 cites W2958345746 @default.
• W4323060177 cites W2994753452 @default.
• W4323060177 cites W3003389870 @default.
• W4323060177 cites W3004104613 @default.
• W4323060177 cites W3102740941 @default.
• W4323060177 cites W4200026998 @default.
• W4323060177 cites W4206744013 @default.
• W4323060177 cites W4281710609 @default.
• W4323060177 cites W4287447981 @default.
• W4323060177 cites W4290996002 @default.
• W4323060177 cites W4294168339 @default.
• W4323060177 doi "https://doi.org/10.1109/iccit57492.2022.10054721" @default.
• W4323060177 hasPublicationYear "2022" @default.
• W4323060177 type Work @default.
• W4323060177 citedByCount "0" @default.
• W4323060177 crossrefType "proceedings-article" @default.
• W4323060177 hasAuthorship W4323060177A5016247669 @default.
• W4323060177 hasAuthorship W4323060177A5020300760 @default.
• W4323060177 hasAuthorship W4323060177A5029893891 @default.
• W4323060177 hasAuthorship W4323060177A5041451795 @default.
• W4323060177 hasAuthorship W4323060177A5053829375 @default.
• W4323060177 hasAuthorship W4323060177A5054168250 @default.
• W4323060177 hasAuthorship W4323060177A5075262500 @default.
• W4323060177 hasAuthorship W4323060177A5078802402 @default.
• W4323060177 hasConcept C100660578 @default.
• W4323060177 hasConcept C108583219 @default.
• W4323060177 hasConcept C115961682 @default.
• W4323060177 hasConcept C121332964 @default.
• W4323060177 hasConcept C134306372 @default.
• W4323060177 hasConcept C137293760 @default.
• W4323060177 hasConcept C138885662 @default.
• W4323060177 hasConcept C139676723 @default.
• W4323060177 hasConcept C154945302 @default.
• W4323060177 hasConcept C157657479 @default.
• W4323060177 hasConcept C171268870 @default.
• W4323060177 hasConcept C199360897 @default.
• W4323060177 hasConcept C204321447 @default.
• W4323060177 hasConcept C22561748 @default.
• W4323060177 hasConcept C2776502983 @default.
• W4323060177 hasConcept C2780791683 @default.
• W4323060177 hasConcept C28490314 @default.
• W4323060177 hasConcept C33923547 @default.
• W4323060177 hasConcept C41008148 @default.
• W4323060177 hasConcept C41895202 @default.
• W4323060177 hasConcept C49774154 @default.
• W4323060177 hasConcept C522192633 @default.
• W4323060177 hasConcept C62520636 @default.
• W4323060177 hasConceptScore W4323060177C100660578 @default.
• W4323060177 hasConceptScore W4323060177C108583219 @default.
• W4323060177 hasConceptScore W4323060177C115961682 @default.
• W4323060177 hasConceptScore W4323060177C121332964 @default.
• W4323060177 hasConceptScore W4323060177C134306372 @default.
• W4323060177 hasConceptScore W4323060177C137293760 @default.
• W4323060177 hasConceptScore W4323060177C138885662 @default.
• W4323060177 hasConceptScore W4323060177C139676723 @default.
• W4323060177 hasConceptScore W4323060177C154945302 @default.
• W4323060177 hasConceptScore W4323060177C157657479 @default.
• W4323060177 hasConceptScore W4323060177C171268870 @default.
• W4323060177 hasConceptScore W4323060177C199360897 @default.
• W4323060177 hasConceptScore W4323060177C204321447 @default.
• W4323060177 hasConceptScore W4323060177C22561748 @default.
• W4323060177 hasConceptScore W4323060177C2776502983 @default.
• W4323060177 hasConceptScore W4323060177C2780791683 @default.
• W4323060177 hasConceptScore W4323060177C28490314 @default.
• W4323060177 hasConceptScore W4323060177C33923547 @default.
• W4323060177 hasConceptScore W4323060177C41008148 @default.
• W4323060177 hasConceptScore W4323060177C41895202 @default.
• W4323060177 hasConceptScore W4323060177C49774154 @default.
• W4323060177 hasConceptScore W4323060177C522192633 @default.
• W4323060177 hasConceptScore W4323060177C62520636 @default.
• W4323060177 hasLocation W43230601771 @default.
• W4323060177 hasOpenAccess W4323060177 @default.
• W4323060177 hasPrimaryLocation W43230601771 @default.
• W4323060177 hasRelatedWork W2346634343 @default.
• W4323060177 hasRelatedWork W2547835662 @default.
• W4323060177 hasRelatedWork W2557924869 @default.
• W4323060177 hasRelatedWork W2783312365 @default.
• W4323060177 hasRelatedWork W2809904748 @default.
• W4323060177 hasRelatedWork W2888481972 @default.
• W4323060177 hasRelatedWork W2907945115 @default.
• W4323060177 hasRelatedWork W3107474891 @default.

• next