PATENT CLAIM ANALYSIS

Application Number: 15861757
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["345", "690000"]

Abstract:
A liquid crystal driving apparatus includes a driver configured to form a gradation in the pixel based on each gradation value in the plurality of sub-frame image data by sequentially controlling an application of a first voltage and an application of a second voltage lower than the first voltage for the plurality of pixels in each of a plurality of sub-field periods contained in one frame period. Where an input gradation value is defined as the gradation value of the input frame image data, the image data generator generates a first sub-frame image data having a first gradation value higher than the input gradation value and a second sub-frame image data having a second gradation value lower than the input gradation value as at least the plurality of sub-frame image data.

Claim (Index 9):
The liquid crystal driving apparatus according to  claim 1 , wherein the image data generator includes a first data table that contains data of the first gradation value to the input gradation value and a second data table that contains data of the second gradation value to the input gradation value, and\n wherein in generating each of the first and second sub-frame image data, the image data generator refers to a corresponding one of the first data table and the second data table.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 86.0
- Lexical Diversity: 2.39286
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['09817217', '13848384', '15253976', '11578780', '12777735']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6929695677043816
- 35 USC 102 Novelty (BERT): 0.4936490930244412
- Combined Prediction Score: 0.6730375202363875
- Mean Citation Score: 248.604856
- Max Citation Score: 257.07697
- Similarity Product: 208.4084839849949

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

Dataset: test