PATENT CLAIM ANALYSIS

Application Number: 15890299
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-07
Patent Classification: ["345", "690000"]

Abstract:
A grayscale compensating method, an apparatus for a self-luminous display and a self-luminous display device are provided. The method includes: obtaining each driving voltage corresponding to each grayscale signal of the self-luminous display; determining, according to intervals to which each driving voltage belongs, each preset driving function corresponding to each driving voltage; determining each first driving current corresponding to each driving voltage according to each preset driving function; detecting each second driving current of pixel units of the self-luminous display in case of being driven at each driving voltage; comparing the first driving current with the second driving current, and determining compensating voltages corresponding to each grayscale signal according to each preset driving function, and differences between each first driving current and each second driving current.

Claim (Index 2):
The method according to  claim 1 , wherein the determining, according to intervals to which each driving voltage value belongs, each preset driving function corresponding to each driving voltage value comprising:\n judging whether each driving voltage value is greater than a preset threshold sequentially; determining, if yes, that a preset driving function corresponding to the driving voltage value is a first function; determining, if not, that a preset driving function corresponding to the driving voltage value is a second function.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 88.0
- Lexical Diversity: 2.65385
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15322545', '14491200', '15565461', '15565215', '15122375']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6538580646561889
- 35 USC 102 Novelty (BERT): 0.5021921618752258
- Combined Prediction Score: 0.6386914743780926
- Mean Citation Score: 230.53596
- Max Citation Score: 262.4036
- Similarity Product: 186.64587043910024

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