PATENT CLAIM ANALYSIS

Application Number: 16127618
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["340", "439000"]

Abstract:
Techniques are described for machine-trained analysis for multimodal machine learning. A computing device captures a plurality of information channels, wherein the plurality of information channels includes contemporaneous audio information and video information from an individual. A multilayered convolutional computing system learns trained weights using the audio information and the video information from the plurality of information channels, wherein the trained weights cover both the audio information and the video information and are trained simultaneously, and wherein the learning facilitates emotional analysis of the audio information and the video information. A second computing device captures further information and analyzes the further information using trained weights to provide an emotion metric based on the further information. Additional information is collected with the plurality of information channels from a second individual and learning the trained weights factors in the additional information. The further information can include only video data or audio data.

Claim (Index 6):
The method of  claim 1  wherein the learning comprises early fusion combination of video data and audio data for the analyzing of the further information.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 97.0
- Lexical Diversity: 2.46875
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15861855', '15870634', '12215879', '12154002', '15589959']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7393331835833351
- 35 USC 102 Novelty (BERT): 0.5206540705758933
- Combined Prediction Score: 0.7174652722825909
- Mean Citation Score: 248.88326400000005
- Max Citation Score: 298.0126
- Similarity Product: 230.4588075973988

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