PATENT CLAIM ANALYSIS

Application Number: 15947194
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-01
Patent Classification: ["177", "136000"]

Abstract:
Techniques are disclosed for systems and methods to detect and/or classify a vehicle occupant, such as a passenger seated within the cockpit of a vehicle. An occupant classification system includes an occupant weight sensor, an occupant presence sensor, and a logic device configured to communicate with the occupant sensors. The occupant weight sensor includes at least first and second conductive electrodes separated by a dielectric layer, top and bottom protective plastic layers configured to support the respective first and second conductive electrodes, and adhesive layers disposed between the plastic layers and the conductive electrodes and between the conductive electrodes and the dielectric layer. The top protective plastic layer is longer and/or wider than the first conductive electrode and the bottom protective plastic layer is longer and/or wider than the second conductive electrode to provide edge protection against electrical shorts for the first and second conductive electrodes.

Claim (Index 15):
The system of  claim 14 , further comprising a communication module configured to establish a communication link with a user device and/or a remote server over a local area network and/or a wide area network, wherein:\n the vehicle comprises a terrestrial vehicle; the occupant classification status comprises at least one of an empty status, an inhibit status, a small allow status, or a large allow status; and the logic device is further configured to:\n communicate the occupant classification status to an airbag controller of the vehicle and/or to a user interface of the vehicle; or \n communicate the occupant classification status to the user device and/or to the remote server.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 91.0
- Lexical Diversity: 2.21429
- Patent Class: 177.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16072475', '11266091', '11475107', '11948730', '12169431']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5881007707313584
- 35 USC 102 Novelty (BERT): 0.4943504652164661
- Combined Prediction Score: 0.5787257401798692
- Mean Citation Score: 205.568734
- Max Citation Score: 211.15443
- Similarity Product: 133.086858412562

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