PATENT CLAIM ANALYSIS

Application Number: 15956450
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["345", "419000"]

Abstract:
In some embodiments, the present invention provides for a computer system that may include a camera component configured to acquire a visual content, where the visual content includes a plurality of frames having a visual representation of a person's face; and a processor configured to: train a face detection regressor with a synthetic face model database to obtain a face detection trained regressor; apply, for each frame, the face detection trained regressor to detect or to track the face based on facial features, local features, and a pre-defined hyperparameter; construct an intermediate multi-dimensional face model; apply machine learning to determine features of an intermediate multi-dimensional head model; construct a multi-dimensional avatar; and utilize the multi-dimensional avatar to perform an activity associated with the person.

Claim (Index 20):
The system of  claim 19 , wherein the training of the at least one face detection regressor is performed by at least one second processor; and wherein the at least one second processor is distinct from the at least one first processor of the portable electronic device and is remotely located from the portable electronic device.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 1.93056
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15881353', '14517758', '15299221', '15728178', '15044970']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6470079859627754
- 35 USC 102 Novelty (BERT): 0.5084448247370243
- Combined Prediction Score: 0.6331516698402003
- Mean Citation Score: 164.037744
- Max Citation Score: 188.12796
- Similarity Product: 102.3158812777734

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