According to a method for detecting a hand motion of a wearable augmented reality device by using a depth image and a wearable augmented reality device capable of detecting a hand motion by using a depth image, which are proposed in the present invention, robust hand motion detection can be performed even in natural light by using an RGB-converted depth image, and a hand motion can be quickly and accurately detected from the depth image in real time by acquiring the coordinates of a hand joint by using a deep learning-based joint inference model and by defining the hand motion through the relative positions of the coordinates.
METHOD FOR DETECTING HAND MOTION OF WEARABLE AUGMENTED REALITY DEVICE BY USING DEPTH IMAGE AND WEARABLE AUGMENTED REALITY DEVICE CAPABLE OF DETECTING HAND MOTION BY USING DEPTH IMAGE