Tracked Robot Control with Hand Gesture Based on MediaPipe
Marthed Wameed,
Ahmed M. ALKAMACHI,
Ergun Erçelebi
Abstract:Hand gestures are currently considered one of the most accurate ways to communicate in many applications, such as sign language, controlling robots, the virtual world, smart homes, and the field of video games. Several techniques are used to detect and classify hand gestures, for instance using gloves that contain several sensors or depending on computer vision. In this work, computer vision is utilized instead of using gloves to control the robot's movement. That is because gloves need complicated electrical … Show more
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