Matches in SemOpenAlex for { <https://semopenalex.org/work/W2486806685> ?p ?o ?g. }
Showing items 1 to 70 of
70
with 100 items per page.
- W2486806685 abstract "The proposed research explores a relatively new area of expression detection through facial points in a sign language to enhance the computer interaction with the deaf and hard of hearing. The research mainly focuses on facial points collected from Kinect as basis for expression detection as opposed to numerous gesture based studies on sign language. This helps in deploying the applications in smart phones as it is feasible to capture facial point easily rather than hand gestures. Exhaustive experimentation is carried out with ten different machine learning algorithms for detecting nine different types of expression modeled as different binary classification problem for each expression. This is done for user dependent model and user independent model scenarios. The optimal classifier for each expression is found to outperform the current state-of-the-art techniques and has ROC area greater than 0.95 for each expression. It is found that user independent model's performance is comparable to user dependent model, hence is suggested as it is easy and efficient to deploy in practical applications. Finally, the importance of each facial point in detecting each type of expression has been mined, which can be instrumental for future research and for various application using facial points as basis for decision making." @default.
- W2486806685 created "2016-08-23" @default.
- W2486806685 creator A5006355527 @default.
- W2486806685 creator A5028484248 @default.
- W2486806685 creator A5035417307 @default.
- W2486806685 creator A5042396363 @default.
- W2486806685 creator A5075902534 @default.
- W2486806685 creator A5076771617 @default.
- W2486806685 date "2016-05-01" @default.
- W2486806685 modified "2023-09-27" @default.
- W2486806685 title "Detection and analysis model for grammatical facial expressions in sign language" @default.
- W2486806685 cites W1976526581 @default.
- W2486806685 cites W1978590922 @default.
- W2486806685 cites W2101926813 @default.
- W2486806685 cites W2113264970 @default.
- W2486806685 cites W2166835339 @default.
- W2486806685 doi "https://doi.org/10.1109/tenconspring.2016.7519396" @default.
- W2486806685 hasPublicationYear "2016" @default.
- W2486806685 type Work @default.
- W2486806685 sameAs 2486806685 @default.
- W2486806685 citedByCount "6" @default.
- W2486806685 countsByYear W24868066852018 @default.
- W2486806685 countsByYear W24868066852019 @default.
- W2486806685 countsByYear W24868066852020 @default.
- W2486806685 countsByYear W24868066852022 @default.
- W2486806685 countsByYear W24868066852023 @default.
- W2486806685 crossrefType "proceedings-article" @default.
- W2486806685 hasAuthorship W2486806685A5006355527 @default.
- W2486806685 hasAuthorship W2486806685A5028484248 @default.
- W2486806685 hasAuthorship W2486806685A5035417307 @default.
- W2486806685 hasAuthorship W2486806685A5042396363 @default.
- W2486806685 hasAuthorship W2486806685A5075902534 @default.
- W2486806685 hasAuthorship W2486806685A5076771617 @default.
- W2486806685 hasConcept C134306372 @default.
- W2486806685 hasConcept C138885662 @default.
- W2486806685 hasConcept C139676723 @default.
- W2486806685 hasConcept C154945302 @default.
- W2486806685 hasConcept C195704467 @default.
- W2486806685 hasConcept C204321447 @default.
- W2486806685 hasConcept C33923547 @default.
- W2486806685 hasConcept C41008148 @default.
- W2486806685 hasConcept C41895202 @default.
- W2486806685 hasConcept C522192633 @default.
- W2486806685 hasConceptScore W2486806685C134306372 @default.
- W2486806685 hasConceptScore W2486806685C138885662 @default.
- W2486806685 hasConceptScore W2486806685C139676723 @default.
- W2486806685 hasConceptScore W2486806685C154945302 @default.
- W2486806685 hasConceptScore W2486806685C195704467 @default.
- W2486806685 hasConceptScore W2486806685C204321447 @default.
- W2486806685 hasConceptScore W2486806685C33923547 @default.
- W2486806685 hasConceptScore W2486806685C41008148 @default.
- W2486806685 hasConceptScore W2486806685C41895202 @default.
- W2486806685 hasConceptScore W2486806685C522192633 @default.
- W2486806685 hasLocation W24868066851 @default.
- W2486806685 hasOpenAccess W2486806685 @default.
- W2486806685 hasPrimaryLocation W24868066851 @default.
- W2486806685 hasRelatedWork W1563033264 @default.
- W2486806685 hasRelatedWork W2000288777 @default.
- W2486806685 hasRelatedWork W2001032017 @default.
- W2486806685 hasRelatedWork W2180577940 @default.
- W2486806685 hasRelatedWork W2379699055 @default.
- W2486806685 hasRelatedWork W2784089225 @default.
- W2486806685 hasRelatedWork W2801296865 @default.
- W2486806685 hasRelatedWork W3107474891 @default.
- W2486806685 hasRelatedWork W4304606405 @default.
- W2486806685 hasRelatedWork W605666864 @default.
- W2486806685 isParatext "false" @default.
- W2486806685 isRetracted "false" @default.
- W2486806685 magId "2486806685" @default.
- W2486806685 workType "article" @default.