PATENT CLAIM ANALYSIS

Application Number: 15907957
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-08
Patent Classification: ["315", "294000"]

Abstract:
Embodiments of the present invention include a lighting fixture(s), a computer program product and a computer-implemented method that include program code executed by a processor(s) that obtains a request to implement a specified lighting pattern in the lighting fixture(s). Each lighting fixture includes effect lighting communicatively coupled to the processor(s) and functional lighting (oriented to illuminate a surface below the lighting fixture) communicatively coupled to the processor(s). The program code identifies the specified lighting pattern in a memory communicatively coupled to the processor(s), which includes a sequence for illuminating a portion of the effect lighting elements. The processor(s) executes the specified lighting pattern in the lighting fixture(s).

Claim (Index 17):
The computer-implemented method of  claim 16 , wherein implementing the specified lighting pattern in the one or more lighting fixtures comprises automatically adjusting a setting of the portion of lighting elements comprising the first plurality of lighting elements in each of the one or more lighting fixtures, the setting selected from the group consisting of: intensity and color temperature.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 88.0
- Lexical Diversity: 2.67308
- Patent Class: 315.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13289492', '14940608', '15720633', '10528470', '12423543']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7379402397245869
- 35 USC 102 Novelty (BERT): 0.4778528521662157
- Combined Prediction Score: 0.7119315009687498
- Mean Citation Score: 143.48137000000003
- Max Citation Score: 147.37563
- Similarity Product: 99.3570040341568

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