PATENT CLAIM ANALYSIS

Application Number: 16279164
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["455", "456300"]

Abstract:
A method and system for automatically updating a self-learning data repository. The method is executed in a processor of a server computing device to store a fingerprint map of an area in the self-learning data repository, the fingerprint map having positioning fingerprint data that includes magnetic spatial derivative fingerprint data, receive, at the self-learning data repository, at least one of mobile device signal data and mobile device sensor data correlated with a sequence of positions along a trajectory describing a movement of a mobile device relative to the area, the sensor data including mobile device magnetic spatial derivative data, and automatically update, using the processor, the self-learning data repository by adding the at least one of mobile device signal data and mobile device sensor data to the positioning fingerprint data.

Claim (Index 13):
The self-learning data repository of  claim 11  wherein the mobile device spatial derivative magnetic data is derived in accordance with a magnetic spatial gradient based on differences in absolute magnetic field measurements and a spatial separation existing across at least a pair of contiguous positions that indicate the relative changes as the mobile device traverses the sequence of positions.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 99.0
- Lexical Diversity: 2.45614
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15827853', '16029689', '15827748', '16029688', '15944407']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7098579648776024
- 35 USC 102 Novelty (BERT): 0.5103139601376699
- Combined Prediction Score: 0.6899035644036091
- Mean Citation Score: 214.151426
- Max Citation Score: 286.23108
- Similarity Product: 216.4652125757003

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