PATENT CLAIM ANALYSIS

Application Number: 16035804
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["455", "456100"]

Abstract:
Examples disclosed herein relate to determining a scale associated with received signal strength indicators (RSSIs). In one example, a computing device receives access point (AP) RSSIs. The RSSIs are determined at APs. The APs are associated with coordinate information. In one example, records are maintained for AP reference pairs. Each AP RSSI can be determined at one AP with reference to another AP. In one example, the computing device determines a scale associated with each record.

Claim (Index 1):
A method comprising:\n receiving, by a computing device, a plurality of access point received signal strength indicators (RSSIs) determined at a plurality of wireless access points, wherein each of the wireless access points are associated with coordinate information, maintaining a plurality of records for wireless access point reference pairs, wherein each of the access point RSSIs are determined at a first one of the wireless access points and reference a second one of the wireless access points, wherein the wireless access point reference pairs correspond to the respective first one of the wireless access points and the second one of the wireless access points; and determining, by the computing device, a scale associated with each of the records based on the respective RSSIs for the respective wireless access point reference pairs and the coordinate information for the corresponding wireless access points in the wireless access point reference pairs.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 95.0
- Lexical Diversity: 1.83673
- Patent Class: 455.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15458169', '15611721', '15611715', '15611727', '14449763']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6749970387638132
- 35 USC 102 Novelty (BERT): 0.5221806026564759
- Combined Prediction Score: 0.6597153951530795
- Mean Citation Score: 206.820868
- Max Citation Score: 338.56482
- Similarity Product: 323.2831649875045

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

Dataset: test