Hand Gesture Image Enhancement for Improved Recognition and Subsequent Analysis
Author:
Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-8896-6_29
Reference15 articles.
1. Lecture Notes in Electrical Engineering;K Wani,2022
2. Alam, M.M., Islam, M.T., Rahman, S.M.M.: Unified learning approach for egocentric hand gesture recognition and fingertip detection. Pattern Recognit. 121, 108200 (2022). Doi: https://doi.org/10.1016/j.patcog.2021.108200
3. Bakheet, S., Al-Hamadi, A.: Robust hand gesture recognition using multiple shape-oriented visual cues. EURASIP J. Image Video Process. 2021(1), 1–18 (2021). https://doi.org/10.1186/s13640-021-00567-1
4. Ahmed, S., Wang, D., Park, J., Cho, S.H.: UWB-gestures, a public dataset of dynamic hand gestures acquired using impulse radar sensors. Sci. Data. 8, 102 (2021). https://doi.org/10.1038/s41597-021-00876-0
5. Sharma, S., Singh, S.: Vision-based hand gesture recognition using deep learning for the interpretation of sign language. Expert Syst. Appl. 182, 115657 (2021). Doi: https://doi.org/10.1016/j.eswa.2021.115657
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