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What is In-Vehicle Gesture Recognition Using Radar about?

The paper presents a dynamic hand gesture recognition system for in-vehicle environments using FMCW radar and a transformer-based network called RGTNet. It addresses challenges such as variable driving conditions and complex backgrounds, achieving a recognition accuracy of 97.56% across eight gesture classification tasks. The system includes data acquisition, signal processing, and a gesture recognition algorithm, demonstrating the effectiveness of radar technology in enhancing human-computer interaction in

Author

Srinath

Language

EN