PATENT CLAIM ANALYSIS

Application Number: 16206051
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-06
Patent Classification: ["345", "473000"]

Abstract:
Techniques are described for image generation for avatar image animation using translation vectors. An avatar image is obtained for representation on a first computing device. An autoencoder is trained, on a second computing device comprising an artificial neural network, to generate synthetic emotive faces. A plurality of translation vectors is identified corresponding to a plurality of emotion metrics, based on the training. A bottleneck layer within the autoencoder is used to identify the plurality of translation vectors. A subset of the plurality of translation vectors is applied to the avatar image, wherein the subset represents an emotion metric input. The emotion metric input is obtained from facial analysis of an individual. An animated avatar image is generated for the first computing device, based on the applying, wherein the animated avatar image is reflective of the emotion metric input and the avatar image includes vocalizations.

Claim (Index 27):
The method of  claim 1  wherein the avatar image includes empathetic mirroring.

Metadata:
- Claim Count in Document: 57.0
- Percentile: 98.0
- Lexical Diversity: 2.32353
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16127618', '14086695', '15954969', '15102200', '13437904']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6885591972044094
- 35 USC 102 Novelty (BERT): 0.4952542041757205
- Combined Prediction Score: 0.6692286979015405
- Mean Citation Score: 199.603256
- Max Citation Score: 213.49155
- Similarity Product: 148.46263459278344

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