UAV Control via Dynamic Hand Gesture Recognition

2021–2025

End-to-end deep learning framework for real-time UAV control using dynamic hand gestures.

  • Developed an end-to-end deep learning framework for real-time UAV control using dynamic hand gestures.
  • Evaluated multiple benchmark datasets and state-of-the-art deep learning architectures.
  • Achieved best recognition performance under controlled evaluation settings.
  • Published multiple journal articles based on this research.