PATENT CLAIM ANALYSIS

Application Number: 16030067
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-02
Patent Classification: ["345", "595000"]

Abstract:
The disclosure discloses a method and apparatus for adjusting color temperature based upon fuzzy control. The method for adjusting color temperature based upon fuzzy control includes: determining an initial color temperature value of a screen of an terminal device according to an illumination intensity of ambient light when the screen is lightened; obtaining a percentage of eyelid closure over the pupil, over time, PERCLOS of a user, and the illumination intensity of ambient light at a preset periodicity; and determining a target color temperature value corresponding to the current PERCLOS of the user, and the current illumination intensity of ambient light according to a preset fuzzy rule, and adjusting the screen to the target color temperature value, wherein taking the PERCLOS, and the illumination intensity of ambient light as input signals, and the color temperature as an output signal according to the preset fuzzy rule.

Claim (Index 12):
The apparatus according to  claim 8 , wherein the processor is configured to read the computer-readable programs to obtain the PERCLOS X of the user in a preset length of time in the equation of: X = \u2211 i = 1 n \ue89e \ue89e t T \ue89e \ue89e 1 \u2264 i \u2264 n ; wherein T is the length of time of the periodicity, t is each instance of time when the eyes are closed, and n is the number of times that the eyes are closed in the length of time of the periodicity.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 95.0
- Lexical Diversity: 2.59016
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15743047', '15263439', '10312785', '14223947', '15255493']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6440907241144336
- 35 USC 102 Novelty (BERT): 0.5102094577443174
- Combined Prediction Score: 0.630702597477422
- Mean Citation Score: 153.96321799999996
- Max Citation Score: 177.7391
- Similarity Product: 92.94392565737964

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