Matches in SemOpenAlex for { <https://semopenalex.org/work/W2904351606> ?p ?o ?g. }
Showing items 1 to 62 of
62
with 100 items per page.
- W2904351606 abstract "According to WHO’s survey over 5% of the total population is deaf. Deafness impacts on individual’s ability to communicate with others. Deaf people communicate among themselves using sign language. Sign languages is combination of hand movements and facial expressions. However normal person rarely knows these signs and this becomes barrier in real world communication. This paper is discusses the research work progress in the field of Sign language Recognition which aids Deaf and Dumb Community in the Society for communication. This paper discusses the research work of different countries sign languages. The discussion not limited to single sign but word and sentences recognition. Signs are in the form of hand gestures and these gestures are identified from images, videos and glove/sensor based system. The paper discuss about sign gesture dataset which can be created or referred from standard sign library. The review shows there are more than one color model available which distinguish skin and non skin color in a given image. Hand gestures are identified and classified using features. The features are like Orientation Histogram, Haar like, Fourier descriptors, DCT etc. Classification algorithms are included: Support Vector Machines, k-Nearest Neighbor, Naive Bayes Classifier (NBC) Feed forward, back propagation neural network, Distance Based Classifier, among others. Recognition accuracy is more than 90%, few achieve around 80%. However, most experiments were performed indoor under controlled environments, with specific lighting conditions, simple background, and were only using a small set of gestures. Comprehensive study provide introduction to automated Sign Language Recognition System reader and researcher and further facilitates future research efforts in this area." @default.
- W2904351606 created "2018-12-22" @default.
- W2904351606 creator A5028914089 @default.
- W2904351606 creator A5069604107 @default.
- W2904351606 date "2018-01-01" @default.
- W2904351606 modified "2023-10-18" @default.
- W2904351606 title "Survey of Sign Language Recognition System" @default.
- W2904351606 cites W1968688469 @default.
- W2904351606 cites W1986128262 @default.
- W2904351606 cites W1997848820 @default.
- W2904351606 cites W2031207102 @default.
- W2904351606 cites W2067047211 @default.
- W2904351606 cites W2068648099 @default.
- W2904351606 cites W2151177384 @default.
- W2904351606 cites W2322243889 @default.
- W2904351606 cites W2539652809 @default.
- W2904351606 cites W2600886846 @default.
- W2904351606 cites W4235846726 @default.
- W2904351606 doi "https://doi.org/10.2139/ssrn.3262581" @default.
- W2904351606 hasPublicationYear "2018" @default.
- W2904351606 type Work @default.
- W2904351606 sameAs 2904351606 @default.
- W2904351606 citedByCount "1" @default.
- W2904351606 countsByYear W29043516062022 @default.
- W2904351606 crossrefType "journal-article" @default.
- W2904351606 hasAuthorship W2904351606A5028914089 @default.
- W2904351606 hasAuthorship W2904351606A5069604107 @default.
- W2904351606 hasConcept C134306372 @default.
- W2904351606 hasConcept C138885662 @default.
- W2904351606 hasConcept C139676723 @default.
- W2904351606 hasConcept C154945302 @default.
- W2904351606 hasConcept C204321447 @default.
- W2904351606 hasConcept C33923547 @default.
- W2904351606 hasConcept C41008148 @default.
- W2904351606 hasConcept C41895202 @default.
- W2904351606 hasConcept C522192633 @default.
- W2904351606 hasConceptScore W2904351606C134306372 @default.
- W2904351606 hasConceptScore W2904351606C138885662 @default.
- W2904351606 hasConceptScore W2904351606C139676723 @default.
- W2904351606 hasConceptScore W2904351606C154945302 @default.
- W2904351606 hasConceptScore W2904351606C204321447 @default.
- W2904351606 hasConceptScore W2904351606C33923547 @default.
- W2904351606 hasConceptScore W2904351606C41008148 @default.
- W2904351606 hasConceptScore W2904351606C41895202 @default.
- W2904351606 hasConceptScore W2904351606C522192633 @default.
- W2904351606 hasLocation W29043516061 @default.
- W2904351606 hasOpenAccess W2904351606 @default.
- W2904351606 hasPrimaryLocation W29043516061 @default.
- W2904351606 hasRelatedWork W1563033264 @default.
- W2904351606 hasRelatedWork W2001032017 @default.
- W2904351606 hasRelatedWork W2180577940 @default.
- W2904351606 hasRelatedWork W2379699055 @default.
- W2904351606 hasRelatedWork W2386524223 @default.
- W2904351606 hasRelatedWork W2474002273 @default.
- W2904351606 hasRelatedWork W2784089225 @default.
- W2904351606 hasRelatedWork W2801296865 @default.
- W2904351606 hasRelatedWork W4304606405 @default.
- W2904351606 hasRelatedWork W605666864 @default.
- W2904351606 isParatext "false" @default.
- W2904351606 isRetracted "false" @default.
- W2904351606 magId "2904351606" @default.
- W2904351606 workType "article" @default.