Rapid speedup segment analysis based feature extraction for hand gesture recognition

Author:

Parvathy D. Priyanka,Subramaniam Kamalraj

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference32 articles.

1. Agarwal R, Raman B, Mittal A and gesture recognition using discrete wavelet transform and support vector machine, Signal Processing and Integrated Networks in IEEE

2. Aowal A, Zaman, A.S, Mahbubur Rahman SM, Hatzinakos D (2014) Static hand gesture recognition using discriminative 2D Zernike moments, IEEE conference on TENCON

3. Asad M, Abhayaratne C (2013) Kinect depth stream pre-processing for hand gesture recognition, IEEE International Conference on Image Processing (ICIP), IEEE, 3735–3739

4. Athavale S, Deshmukh M (2014) Dynamic Hand Gesture Recognition for Human Computer interaction; A Comparative Study, International Journal of Engineering Research and General Science 2, 2

5. Bansal M, Saxena S, Desale D, Jadhav D (2011) Dynamic Gesture Recognition Using Hidden Markov Model in Static Background, International Journal of Computer Science Issues, Vol. 8, Issue 6, No 1

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1. Multilevel Fusion with Dual Stream 3DCNN-LSTM for Advancing Dynamic Hand Gesture Recognition;2023 26th International Conference on Computer and Information Technology (ICCIT);2023-12-13

2. Recognition of Indian Sign Language using Hand geometry and Neural Network;2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS);2022-11-04

3. Review of Feature Extraction on Video-Oculography (VOG) and Electro-Oculography (EOG) Signals;2022 IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom);2022-06-16

4. Static hand gesture recognition based on hierarchical decision and classification of finger features;Science Progress;2022-01

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