A comprehensive framework for hand gesture recognition using hybrid-metaheuristic algorithms and deep learning models

I'm happy to share our recent paper:

Hassan Mohyuddin, Syed Kumayl Raza Moosavi, Muhammad Hamza Zafar and Filippo Sanfilippo. A comprehensive framework for hand gesture recognition using hybrid-metaheuristic algorithms and deep learning models. Array, 2023.

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???? Key Insights:

• We harnessed data from a Leap Motion Controller (LMC) and a unique Spotted Hyena-based Chimp Optimization Algorithm (SSC) to select crucial features and train deep neural networks (DNNs).
• In rigorous comparisons, our SSC algorithm consistently demonstrated remarkable performance, achieving a noteworthy accuracy rate of 98% in gesture recognition, surpassing conventional methods.
• Our method holds the potential to significantly enhance accuracy in various domains that rely on advanced feature extraction techniques.

I extend my gratitude to my fellow authors: Hassan Mohyuddin, Syed Kumayl Raza Moosavi, and Muhammad Hamza Zafar for their invaluable contributions.