PATENT CLAIM ANALYSIS

Application Number: 15953466
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-04
Patent Classification: ["455", "456100"]

Abstract:
Apparatuses, methods, and systems for estimating a location of a tag are disclosed. One method includes sensing a first condition of a structure, sensing a second condition of the structure, generating a first set of weighted likelihoods based on the first sensed condition of the structure, wherein the first set of weighted likelihoods includes a weighted likelihood of the tag being at each one of a plurality of grid points within the structure, generating a second set of weighted likelihoods based on the second sensed condition of the structure, wherein the second set of weighted likelihoods includes a weighted likelihood of the tag being at each one of the plurality of grid points, generating a combined set of likelihoods based on the first set of weighted likelihoods and the second set of weighted likelihoods, and estimating a location of the tag based on the combined set of likelihoods.

Claim (Index 4):
The system of  claim 3 , wherein the second plurality of sensors comprises wireless transceivers and the sensed second condition of the structure comprises a received signal strength of wireless signals between the mobile tag and the second plurality of sensors.

Metadata:
- Claim Count in Document: 34.0
- Percentile: 91.0
- Lexical Diversity: 3.87805
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14171662', '12933888', '13391199', '14866499', '13348497']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6881538692885348
- 35 USC 102 Novelty (BERT): 0.4995162435034994
- Combined Prediction Score: 0.6692901067100313
- Mean Citation Score: 144.600124
- Max Citation Score: 149.36348
- Similarity Product: 84.15788814596655

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