PATENT CLAIM ANALYSIS

Application Number: 15942543
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["455", "456100"]

Abstract:
A novel solution to generate an optimal spatial placement map of Radio Frequency (RF) beacons, such as Bluetooth Low Energy (BLE) beacons, which can be used for indoor localization. A described embodiment solves for both generating optimal number of beacons required in a given environment and optimizing their location. The solution also incorporates behavior of RF signal due to various environmental factors such as signal reflection and absorption due to static and dynamic obstacles. In one embodiment, the framework is built upon Genetic Algorithm (GA) for optimization of beacon placement. The experimental results achieved using one implementation of the described method reduced the number of beacons by 50% as compared to beacons placed using expert knowledge. Furthermore, the overall localization error increased by ˜0.4 m when the results using the RF/BLE map generated by the described system were compared with the RF/BLE map generated using expert knowledge.

Claim (Index 3):
The computer-implemented method of  claim 1 , wherein the beacons are Bluetooth Low Energy (BLE) beacons.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 1.65657
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15586234', '14732777', '10929763', '15491931', '15169492']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.713821902032034
- 35 USC 102 Novelty (BERT): 0.4644553684165132
- Combined Prediction Score: 0.688885248670482
- Mean Citation Score: 189.741076
- Max Citation Score: 220.96245
- Similarity Product: 211.80370926615

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

Dataset: test