PATENT CLAIM ANALYSIS

Application Number: 15934521
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-06
Patent Classification: ["345", "423000"]

Abstract:
A three-dimensional model (e.g., motion capture model) of a user is generated from captured images or captured video of the user. A machine learning network may track poses and expressions of the user to generate and refine the three-dimensional model. Refinement of the three-dimensional model may provide more accurate tracking of the user's face. Refining of the three-dimensional model may include refining the determinations of poses and expressions at defined locations (e.g., eye corners and/or nose) in the three-dimensional model. The refining may occur in an iterative process. Tracking of the three-dimensional model over time (e.g., during video capture) may be used to generate an animated three-dimensional model (e.g., an animated puppet) of the user that simulates the user's poses and expressions.

Claim (Index 6):
The method of  claim 1 , wherein determining the pose and muscle activations comprises performing regression on the feature vectors.

Metadata:
- Claim Count in Document: 42.0
- Percentile: 90.0
- Lexical Diversity: 2.15152
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['10444278', '13711639', '13168389', '12811237', '14882624']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6455758926223671
- 35 USC 102 Novelty (BERT): 0.4914731301010567
- Combined Prediction Score: 0.6301656163702362
- Mean Citation Score: 159.433628
- Max Citation Score: 178.63208
- Similarity Product: 115.93917064888954

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test