PATENT CLAIM ANALYSIS

Application Number: 16381961
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-10
Patent Classification: ["455", "456100"]

Abstract:
Methods of creating an indoor confidence level comprising: receiving a location and location accuracy value from or for a device, wherein the location accuracy value is equated to a location accuracy circle; comparing the location and location accuracy circle to a map of known buildings and outdoor locations; and defining an indoor confidence level based upon the percent of overlap of the accuracy radius to a building on said map; and methods of defining an optimization priority among a set of collected data points for network connectivity.

Claim (Index 4):
The method of  claim 3 , wherein the initial indoor confidence level is modified based upon one or more additional steps, selected from the group consisting of: detecting whether a device is connected to a WiFi network; detecting whether the device battery is charging, detecting if the device is stationary at a high confidence location, detecting whether the device moves a significant distance in a period of time \u201cT\u201d that provides indication of unreliable location mapping; detecting a location and comparing to a similar time and location from a previous day; and combinations thereof.

Metadata:
- Claim Count in Document: 10.0
- Percentile: 100.0
- Lexical Diversity: 1.75472
- Patent Class: 455.0
- Transitional Phrase Type: closed
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15235802', '15700357', '13620736', '10595985', '15336117']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7089461390750561
- 35 USC 102 Novelty (BERT): 0.4999234129453124
- Combined Prediction Score: 0.6880438664620817
- Mean Citation Score: 140.47936199999998
- Max Citation Score: 156.97821000000005
- Similarity Product: 88.44185572677793

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test