American Sign Language Detection |
Author(s): |
| Palash Shamkule , G H Raisoni College of Enginnering ; Mrunal Dhomane, G H Raisoni College of Enginnering ; Sonali Guhe, G H Raisoni College of Enginnering |
Keywords: |
| KNN, Keras, Tensorflow, Pandas, OpenCv, Scikit-Learn |
Abstract |
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The versatility of gesture detection systems' applications and their capacity for productive human-computer interaction have made them a hot topic in recent years. The most recent findings in hand gesture recognition algorithms are presented in this paper. The primary issue of hand gesture recognition is introduced along with the difficulty of gesture systems. Review the most current methods for recognizing gestures. Also included are comparisons between the most important gesture recognition steps, a summary of hand gesture techniques, and the findings of database searches. The system's benefits and drawbacks are addressed at the conclusion. |
Other Details |
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Paper ID: IJSRDV11I20045 Published in: Volume : 11, Issue : 2 Publication Date: 01/05/2023 Page(s): 369-370 |
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