PATENT CLAIM ANALYSIS

Application Number: 15916893
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["455", "456100"]

Abstract:
Disclosed are examples of a method, system and asset tag that enables general, coarse and fine estimates of a location of the asset tag. The asset tag receives a signal transmitted from radio frequency (RF)-enabled nodes within a space. Each respective received signal includes a unique node identifier of the respective RF node that transmitted the respective received radio signal. Each RF node has a physical node location in the space that is associated with the unique node identifier. The tag measures the received signal strength of each respective received signal that is associated with the node identifier of the RF node that transmitted the respective received signal. The strongest measured received signal strengths are selected, and a tuple containing the node identifiers for the selected strongest signal strengths is forwarded for estimating a location of the asset tag by a computing device.

Claim (Index 6):
The method of  claim 1 , wherein the generated tuple comprises:\n a first ordinal representing the obtained transmitting node identifier associated with the strongest received signal strength value of the measured received signal strengths of the three obtained transmitting node identifiers, a second ordinal representing the selected node identifier associated with an intermediary received signal strength value of the measured received signal strengths of the three obtained node identifiers, and a third ordinal representing the obtained transmitting node identifier associated with a lowest received signal strength value of the measured received signal strengths of the three obtained transmitting node identifiers.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 90.0
- Lexical Diversity: 2.46032
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15916861', '15865801', '14553424', '15146186', '14055688']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.739518533490721
- 35 USC 102 Novelty (BERT): 0.531423191041632
- Combined Prediction Score: 0.7187089992458122
- Mean Citation Score: 236.70813000000004
- Max Citation Score: 358.1367
- Similarity Product: 249.6654129077733

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