PATENT CLAIM ANALYSIS

Application Number: 15941124
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-10
Patent Classification: ["345", "008000"]

Abstract:
A system for hand tracking may comprise a head mounted display wearable by a user and a hand tracking camera module attached to the head mounted display and comprising at least one of a pair of stereo cameras or a depth camera. The hand tracking camera module may be configured to capture images of at least one physical hand of the user. The head mounted display may be configured to render a virtual hand resembling the physical hand in a virtual environment for viewing by the user based at least on the images.

Claim (Index 8):
The system of  claim 7 , wherein:\n the head mounted display comprises an inertial measurement unit (IMU) configured to sense 3D rotations of the head mounted display; the controller further comprises another IMU configured to sense 3D rotations of the controller to provide as active feedback to the head mounted display; IMU data comprises the sensed 3D rotations of the head mounted display and the sensed 3D rotations of the controller; (step 5) comprises: obtaining an image in a current frame, the IMU data, and least one of determined skeleton joints or a determined 3D object pose in a previous frame as inputs to execute the Hand And Object Detection algorithm; (step 2) comprises, in response to determining that the physical hand holds no object:\n executing a 3D Hand Skeleton Joints Recognition algorithm to determine 3D skeleton joints of the physical hand in 26 degrees-of-freedom in the current frame, \n inputting the determined 3D skeleton joints and the IMU date to a 3D Hand Pose And 3D Object Pose And IMU Fusion algorithm to refine the determined 3D skeleton joints and the determined 3D object pose, \n rendering the virtual hand based at least on the refined 3D skeleton joints, and \n feedbacking the refined 3D skeleton joints to the Hand And Object Detection algorithm for determining if the physical hand holds any object in a next frame; and \n (step 3) comprises, in response to determining that the physical hand holds an object:\n executing a 3D Hand Skeleton Joints And Robust Object Pose Recognition algorithm to determine 3D skeleton joints of the physical hand in 26 degrees-of-freedom and a 3D object pose of the object in the current frame, \n inputting the determined 3D skeleton joints, the determined 3D object pose, and the IMU date to a 3D Hand Pose And 3D Object Pose And IMU Fusion algorithm to refine the determined 3D skeleton joints and the determined 3D object pose, \n rendering the virtual hand based at least on the refined 3D skeleton joints, and \n feedbacking the refined 3D skeleton joints and the refined 3D object pose to the Hand And Object Detection algorithm for determining if the physical hand holds any object in a next frame.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 90.0
- Lexical Diversity: 2.13333
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15274294', '15274334', '15814924', '15274387', '15274361']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6703137093313375
- 35 USC 102 Novelty (BERT): 0.4900760634995078
- Combined Prediction Score: 0.6522899447481546
- Mean Citation Score: 202.215106
- Max Citation Score: 209.92458
- Similarity Product: 149.34200458607197

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test