Matches in SemOpenAlex for { <https://semopenalex.org/work/W4283021921> ?p ?o ?g. }
Showing items 1 to 100 of
100
with 100 items per page.
- W4283021921 endingPage "103554" @default.
- W4283021921 startingPage "103554" @default.
- W4283021921 abstract "Dynamic hand gesture recognition is still an interesting topic for the computer vision community. A set of feature vectors can represent any hand gesture. A Recurrent Neural Network (RNN) can recognize these feature vectors as a hand gesture that analyzes the temporal and contextual information of the gesture sequence. Thus, we proposed a hybrid deep learning framework to recognize dynamic hand gestures. In the Hybrid model GoogleNet is pipelined with a Bidirectional GRU unit to recognize the dynamic hand gesture. Dynamic hand gestures consist of many frames, and features of each frame need to be extracted to get the temporal and dynamic information of the performed gesture. As RNN takes input as a sequence of feature vectors, we extract features from videos using pretrained GoogleNet. As Gated Recurrent Unit is one of the variants of RNN to classify the sequential data, we created a feature vector that corresponds to each video and passed it to the bidirectional GRU (BGRU) network to classify the gestures. We evaluate our model on four publicly available hand gesture datasets. The proposed method performs well and is comparable with the existing methods. For instance, we achieved 98.6% accuracy on Northwestern University Hand Gesture(NWUHG), 99.6% on SKIG, 99.4% on Cambridge Hand Gesture (CHG) datasets respectively. We performed our experiments on DHG14/28 dataset and achieved an accuracy of 97.8% with 14-gesture classes and 92.1% on 28-gesture classes. DHG14/28 dataset contains skeleton and depth data, and our proposed model used depth data and achieved comparable accuracy." @default.
- W4283021921 created "2022-06-18" @default.
- W4283021921 creator A5056245252 @default.
- W4283021921 date "2022-08-01" @default.
- W4283021921 modified "2023-09-24" @default.
- W4283021921 title "A two stream convolutional neural network with bi-directional GRU model to classify dynamic hand gesture" @default.
- W4283021921 cites W1925417509 @default.
- W4283021921 cites W2002381827 @default.
- W4283021921 cites W2050709211 @default.
- W4283021921 cites W2123432324 @default.
- W4283021921 cites W2255228704 @default.
- W4283021921 cites W2467634805 @default.
- W4283021921 cites W2471695703 @default.
- W4283021921 cites W2559833261 @default.
- W4283021921 cites W2595328592 @default.
- W4283021921 cites W2769039400 @default.
- W4283021921 cites W2777985171 @default.
- W4283021921 cites W2797095726 @default.
- W4283021921 cites W2802945511 @default.
- W4283021921 cites W2884320137 @default.
- W4283021921 cites W2914992758 @default.
- W4283021921 cites W2928376668 @default.
- W4283021921 cites W2952200000 @default.
- W4283021921 cites W2963087412 @default.
- W4283021921 cites W2963741310 @default.
- W4283021921 cites W2964206580 @default.
- W4283021921 cites W2969626490 @default.
- W4283021921 cites W2989090019 @default.
- W4283021921 cites W3022899210 @default.
- W4283021921 cites W3035083776 @default.
- W4283021921 cites W3082188807 @default.
- W4283021921 cites W3092146091 @default.
- W4283021921 cites W3106327734 @default.
- W4283021921 cites W3123800862 @default.
- W4283021921 cites W3157903123 @default.
- W4283021921 cites W3158971340 @default.
- W4283021921 cites W3176679855 @default.
- W4283021921 doi "https://doi.org/10.1016/j.jvcir.2022.103554" @default.
- W4283021921 hasPublicationYear "2022" @default.
- W4283021921 type Work @default.
- W4283021921 citedByCount "2" @default.
- W4283021921 countsByYear W42830219212022 @default.
- W4283021921 countsByYear W42830219212023 @default.
- W4283021921 crossrefType "journal-article" @default.
- W4283021921 hasAuthorship W4283021921A5056245252 @default.
- W4283021921 hasConcept C108583219 @default.
- W4283021921 hasConcept C12267149 @default.
- W4283021921 hasConcept C126042441 @default.
- W4283021921 hasConcept C138885662 @default.
- W4283021921 hasConcept C147168706 @default.
- W4283021921 hasConcept C153180895 @default.
- W4283021921 hasConcept C154945302 @default.
- W4283021921 hasConcept C159437735 @default.
- W4283021921 hasConcept C207347870 @default.
- W4283021921 hasConcept C2776401178 @default.
- W4283021921 hasConcept C28490314 @default.
- W4283021921 hasConcept C31972630 @default.
- W4283021921 hasConcept C41008148 @default.
- W4283021921 hasConcept C41895202 @default.
- W4283021921 hasConcept C50644808 @default.
- W4283021921 hasConcept C76155785 @default.
- W4283021921 hasConcept C81363708 @default.
- W4283021921 hasConcept C83665646 @default.
- W4283021921 hasConceptScore W4283021921C108583219 @default.
- W4283021921 hasConceptScore W4283021921C12267149 @default.
- W4283021921 hasConceptScore W4283021921C126042441 @default.
- W4283021921 hasConceptScore W4283021921C138885662 @default.
- W4283021921 hasConceptScore W4283021921C147168706 @default.
- W4283021921 hasConceptScore W4283021921C153180895 @default.
- W4283021921 hasConceptScore W4283021921C154945302 @default.
- W4283021921 hasConceptScore W4283021921C159437735 @default.
- W4283021921 hasConceptScore W4283021921C207347870 @default.
- W4283021921 hasConceptScore W4283021921C2776401178 @default.
- W4283021921 hasConceptScore W4283021921C28490314 @default.
- W4283021921 hasConceptScore W4283021921C31972630 @default.
- W4283021921 hasConceptScore W4283021921C41008148 @default.
- W4283021921 hasConceptScore W4283021921C41895202 @default.
- W4283021921 hasConceptScore W4283021921C50644808 @default.
- W4283021921 hasConceptScore W4283021921C76155785 @default.
- W4283021921 hasConceptScore W4283021921C81363708 @default.
- W4283021921 hasConceptScore W4283021921C83665646 @default.
- W4283021921 hasLocation W42830219211 @default.
- W4283021921 hasOpenAccess W4283021921 @default.
- W4283021921 hasPrimaryLocation W42830219211 @default.
- W4283021921 hasRelatedWork W1554778538 @default.
- W4283021921 hasRelatedWork W2037450455 @default.
- W4283021921 hasRelatedWork W2100078453 @default.
- W4283021921 hasRelatedWork W2107891793 @default.
- W4283021921 hasRelatedWork W2234765641 @default.
- W4283021921 hasRelatedWork W2388078516 @default.
- W4283021921 hasRelatedWork W2738221750 @default.
- W4283021921 hasRelatedWork W2760085659 @default.
- W4283021921 hasRelatedWork W3000698475 @default.
- W4283021921 hasRelatedWork W3193301557 @default.
- W4283021921 hasVolume "87" @default.
- W4283021921 isParatext "false" @default.
- W4283021921 isRetracted "false" @default.
- W4283021921 workType "article" @default.