PATENT CLAIM ANALYSIS

Application Number: 16015690
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-12
Patent Classification: ["381", "107000"]

Abstract:
An electronic device that performs volume normalization is described. Based at least in part on information about an environment, which may include a second electronic device, the electronic device may determine a location of at least an individual relative to a location of the second electronic device. Then, based at least in part on the determined location, the electronic device may calculate a volume setting of a speaker in the second electronic device. For example, the volume setting may increase as a distance between the location of the individual and the location of the second electronic device increases. Alternatively or additionally, the volume setting may be based at least in part on a size of a display device in the environment. Next, the electronic device may provide audio content and second information specifying the volume setting for the second electronic device.

Claim (Index 15):
The non-transitory computer-readable storage medium of  claim 13 , wherein acquiring the information involves one of: performing a measurement using a sensor in the electronic device, or receiving, at the interface circuit, the information, which is associated with the second electronic device.

Metadata:
- Claim Count in Document: 22.0
- Percentile: 94.0
- Lexical Diversity: 2.61017
- Patent Class: 381.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16015607', '16016469', '16016481', '16016451', '16015781']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7647176123760006
- 35 USC 102 Novelty (BERT): 0.5262049769308069
- Combined Prediction Score: 0.7408663488314813
- Mean Citation Score: 330.719432
- Max Citation Score: 348.71472
- Similarity Product: 277.0270716101646

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