Home Automation through Hand Gestures Using ResNet50 and 3D-CNN
This paper talks about using hand movements for the operations of electrical equipment at home. With the use of the much-advanced algorithms - 3D-CNN and ResNet50 to increase the accuracy in detecting the hand gesture to correctly predict the right motion for the functioning of the electrical device...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Bulgarian Academy of Sciences, Institute of Mathematics and Informatics
2021-09-01
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| Series: | Digital Presentation and Preservation of Cultural and Scientific Heritage |
| Subjects: | |
| Online Access: | https://dipp.math.bas.bg/dipp/article/view/84 |
| _version_ | 1811326039733829632 |
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| author | Ankitha Raksha Raghul Krishna Rajasekaran Praveen Francis Suhas Yogeshwara Alexander I. Iliev |
| author_facet | Ankitha Raksha Raghul Krishna Rajasekaran Praveen Francis Suhas Yogeshwara Alexander I. Iliev |
| author_sort | Ankitha Raksha |
| collection | DOAJ |
| description | This paper talks about using hand movements for the operations of electrical equipment at home. With the use of the much-advanced algorithms -
3D-CNN and ResNet50 to increase the accuracy in detecting the hand gesture to correctly predict the right motion for the functioning of the electrical device.
Eventually, the project focuses on the comparative study between different architectures so that we can determine the best-suited model for these kinds of image detection. We aim to bring about a good accurate model for detecting the hand signals. |
| first_indexed | 2024-04-13T14:43:33Z |
| format | Article |
| id | doaj.art-ab023f45fa4d4e5a8d11aac15e7abb40 |
| institution | Directory Open Access Journal |
| issn | 1314-4006 2535-0366 |
| language | English |
| last_indexed | 2024-04-13T14:43:33Z |
| publishDate | 2021-09-01 |
| publisher | Bulgarian Academy of Sciences, Institute of Mathematics and Informatics |
| record_format | Article |
| series | Digital Presentation and Preservation of Cultural and Scientific Heritage |
| spelling | doaj.art-ab023f45fa4d4e5a8d11aac15e7abb402022-12-22T02:42:50ZengBulgarian Academy of Sciences, Institute of Mathematics and InformaticsDigital Presentation and Preservation of Cultural and Scientific Heritage1314-40062535-03662021-09-011110.55630/dipp.2021.11.18Home Automation through Hand Gestures Using ResNet50 and 3D-CNNAnkitha Raksha0Raghul Krishna Rajasekaran1Praveen Francis2Suhas Yogeshwara3Alexander I. Iliev4SRH University Berlin, Charlottenburg, GermanySRH University Berlin, Charlottenburg, GermanySRH University Berlin, Charlottenburg, GermanySRH University Berlin, Charlottenburg, GermanySRH University Berlin, Charlottenburg, Germany; Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Sofia, BulgariaThis paper talks about using hand movements for the operations of electrical equipment at home. With the use of the much-advanced algorithms - 3D-CNN and ResNet50 to increase the accuracy in detecting the hand gesture to correctly predict the right motion for the functioning of the electrical device. Eventually, the project focuses on the comparative study between different architectures so that we can determine the best-suited model for these kinds of image detection. We aim to bring about a good accurate model for detecting the hand signals.https://dipp.math.bas.bg/dipp/article/view/84Hand GesturesHome AutomationResNet503D-CNN |
| spellingShingle | Ankitha Raksha Raghul Krishna Rajasekaran Praveen Francis Suhas Yogeshwara Alexander I. Iliev Home Automation through Hand Gestures Using ResNet50 and 3D-CNN Digital Presentation and Preservation of Cultural and Scientific Heritage Hand Gestures Home Automation ResNet50 3D-CNN |
| title | Home Automation through Hand Gestures Using ResNet50 and 3D-CNN |
| title_full | Home Automation through Hand Gestures Using ResNet50 and 3D-CNN |
| title_fullStr | Home Automation through Hand Gestures Using ResNet50 and 3D-CNN |
| title_full_unstemmed | Home Automation through Hand Gestures Using ResNet50 and 3D-CNN |
| title_short | Home Automation through Hand Gestures Using ResNet50 and 3D-CNN |
| title_sort | home automation through hand gestures using resnet50 and 3d cnn |
| topic | Hand Gestures Home Automation ResNet50 3D-CNN |
| url | https://dipp.math.bas.bg/dipp/article/view/84 |
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