PATENT CLAIM ANALYSIS

Application Number: 16078619
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["455", "456100"]

Abstract:
In the field of mobile and user of the mobile location determination, geo-fences are used to identify areas and regions of commercial, safety and convenience to user of the mobile computer device. The methods disclosed reduce the central processor unit cycles of the mobile computer device and thus the power drain caused by high numbers of calculations required to determine the location of the mobile computer device relative to one or more complex shaped geo-fences by minimising the number of positioning calculations that the mobile device needs to perform. For location updates required by the mobile computer device, the method applies data structures to a deconstructed geo-fence prior to distance calculations for use by a geo-fencing application running on the mobile computer device.

Claim (Index 6):
The method of  claim 1  wherein the predetermined data representative of the one or more geospatial data is required to represent the chosen geo-fence as a multitude of smaller geo-fences with a simpler geometry that when grouped, closely mirror the shape of the complex polygonal geo-fence and then applying the principles of Quadtree data structures on the subset of geo-fences until only the closest smaller geo-fence is located and using that smaller geo-fence for a positioning calculation.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 96.0
- Lexical Diversity: 1.84286
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['16105643', '14593403', '14123373', '15367381', '14593619']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7202980095219299
- 35 USC 102 Novelty (BERT): 0.5053904354873653
- Combined Prediction Score: 0.6988072521184734
- Mean Citation Score: 221.512434
- Max Citation Score: 258.30658
- Similarity Product: 178.00910964337345

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