PATENT CLAIM ANALYSIS

Application Number: 16046130
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-06
Patent Classification: ["386", "241000"]

Abstract:
A video playing method, a video playing device, a video playing system, an apparatus, and a computer-readable storage medium are provided. The video playing method includes dividing a video to be played into a plurality of video segments and labelling, respectively, the plurality of video segments with emotion categories of a user as labels according to a pre-stored correspondence between the emotion categories of the user and video contents, and determining whether each video segment is to be played according to the label of the video segment.

Claim (Index 9):
The video playing device according to  claim 8 , further comprising a physical parameter acquisition portion and a first neural network generation and application portion, wherein\n the physical parameter acquisition portion is configured to acquire physical parameters of the user, and the first neural network generation and application portion is configured to generate a first neural network for representing a correspondence between physical parameters of the user and emotion categories of the user by using the acquired physical parameters of the user, and determine emotion categories of the user by using the generated first neural network.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 95.0
- Lexical Diversity: 2.04255
- Patent Class: 386.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15213412', '15712316', '14933397', '13953929', '13956951']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5880422342370831
- 35 USC 102 Novelty (BERT): 0.4861065000132464
- Combined Prediction Score: 0.5778486608146995
- Mean Citation Score: 187.80596
- Max Citation Score: 194.05515
- Similarity Product: 128.43049205639363

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

Dataset: test