at Google ScholarTitle data
Hax, David Richard Tom ; Penava, Pascal ; Krodel, Samira ; Razova, Liliya ; Büttner, Ricardo:
A Novel Hybrid Deep Learning Architecture for Dynamic Hand Gesture Recognition.
In: IEEE Access.
Vol. 12
(2024)
.
- pp. 28761-28774.
ISSN 2169-3536
DOI: https://doi.org/10.1109/ACCESS.2024.3365274
Official URL: 
Project information
| Project title: |
Project's official title Project's id Open Access Publizieren No information |
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Further data
| Item Type: | Article in a journal |
|---|---|
| Refereed: | Yes |
| Keywords: | Videos; Gesture recognition; Feature extraction; Computer architecture; Deep learning; Dynamics; Computational modeling; Human computer interaction; Convolutional neural networks; Recurrent neural networks; Long short term memory; Human-computer interaction; hand gesture recognition; video hand gesture; dynamic hand gesture; machine learning; deep learning; convolution neural networks; CNN; recurrent neural network; RNN; long-short-term memory; LSTM; inception model; inception-v3 architecture; hybrid architecture; feature extraction |
| Institutions of the University: | Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Former Professors > Chair Business Administration XVIII - Information Systems Management and Data Science - Univ.-Prof. Dr. Ricardo Büttner Faculties Faculties > Faculty of Law, Business and Economics Faculties > Faculty of Law, Business and Economics > Department of Business Administration Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Former Professors |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics |
| Date Deposited: | 22 Mar 2025 22:00 |
| Last Modified: | 24 Mar 2025 06:16 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/92925 |