US 2022/0189195 A1 · METHODS AND APPARATUS FOR AUTOMATIC HAND POSE ESTIMATION USING MACHINE LEARNING

Abstract

Systems and methods for hand pose estimation are provided. For example, a computing device may obtain an image, such as an image of a hand. The computing device may apply one or more preprocessing processes to the image to generate an augmented image. Further, the computing device may apply a first machine learning process to the augmented image to generate a plurality of keypoints. The computing device may also apply a second machine learning process to the plurality of keypoints to generate a plurality of depth values. The computing device may further determine a plurality of angles based on the plurality of keypoints and the plurality of depth values. In some examples, the computing device may generate a model comprising a plurality of segments based on the plurality of angles. The computing device may store the plurality of angles and, in some examples, the model in a memory device.

Claims20

Dependent claims

A system comprising:

a memory device;
and
a computing device communicatively coupled to the memory device, wherein the computing device is configured to:
obtain an image;
apply one or more preprocessing processes to the image to generate an augmented image;
apply a first machine learning process to the augmented image to generate a plurality of keypoints;
apply a second machine learning process to the plurality of keypoints to generate a plurality of depth values;
determine a plurality of angles based on the plurality of keypoints and the plurality of depth values;
and
store the plurality of angles in the memory device.

7 more elements

Dependencies are inferred from the claim text.

Methods and apparatus for automatic hand pose estimation using machine learning

Life of this patent

Methods and apparatus for automatic hand pose estimation using machine learning

Life of this patent

Abstract

Claims20