Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : June 28, 2023 - July 01, 2023
This paper proposes a distance estimation method for a gesture interface with a monocular fovea-lens camera to control AMR position. The interface recognized gestures based on the joint coordinates obtained from the skeleton estimation library. From the acquired data such as the angle and length of the arms, the interface classified 10 ground coordinates centered on operator. This research developed an image-based distance estimation method that used only a camera as a sensor. This paper presents an estimation method that considers the special curvature of the fovea-camera.
