Additionally, if all fingers are down, the system triggers a predefined action, such as turning off all LEDs. This solution integrates hand gesture recognition with IoT, allowing seamless interaction ...

Existing hand gesture recognition methods predominantly rely on a close-set assumption, which in essence limits the viewpoints, gesture categories, and hand shapes at test time to closely resemble ...

Sep 10, 2024: Programmable metasurfaces enable advanced hand gesture recognition (Nanowerk Spotlight) Hand gestures have become a natural way to communicate with digital systems, but making machines ...

Using MediaPipe hand landmark detection, Peral et al. (2022) was able to develop an efficient and reliable deep learning approach for hand gesture recognition real-time that was translated to a robot.

Users capture hand gestures with a smart device camera for real-time predictions, addressing communication challenges for individuals unable to speak. Kasapbaşi et al. (2022) in their paper, ...

Gesture detection is the primary and most significant step for sign language detection and sign language is the communication medium for people with speaking and hearing disabilities. This paper ...

Gesture recognition plays a crucial role in various applications such as virtual environment control, sign language translation, robot control, and music creation. This project utilizes MediaPipe, an ...

For example, hand detection models can be used for gesture recognition systems like SignAll, which uses computer vision to recognize and translate American sign language into text or speech. Its ...