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 9):
The occupant weight sensor of  claim 5 , wherein the compression spring assembly comprises:\n a third plastic layer; a fourth plastic layer; and an array of wave springs configured to form an air gap between the third plastic layer and the fourth plastic layer; wherein the third and fourth plastic layers each comprise one or more alignment assemblies configured to secure and align the third and fourth plastic layers to each other and to secure the array of wave springs between the third and fourth plastic layers.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 91.0
- Lexical Diversity: 2.21429
- Patent Class: 177.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16072475', '11266091', '11475107', '11948730', '12169431']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6126215683309871
- 35 USC 102 Novelty (BERT): 0.5135811926062137
- Combined Prediction Score: 0.6027175307585099
- Mean Citation Score: 205.568734
- Max Citation Score: 211.15443
- Similarity Product: 104.4525996140456

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

Dataset: test