PATENT CLAIM ANALYSIS

Application Number: 16140582
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-03
Patent Classification: ["340", "667000"]

Abstract:
A seat-occupancy and occupant-class detector for a vehicle seat having a back part and a seat part has an insulated but conductive surface element mounted on the seat part of the vehicle seat roughly parallel to a seat cushion thereof. A signal generator feeds an electrical measuring signal to the surface element, and first and second receiving electrodes are provided in the backrest at different spacings from the surface element but vertically level with each other such that the measuring signal of the surface element induces different voltages in the receiving electrodes. Calculation and evaluation steps performed in an evaluation unit take as their basis a value that is a quotient of different measurements for the same physical size and is therefore dimensionless. The reason for this is the arrangement of the two receiving electrodes at a different spacing from the conductive surface element on the seat cushion side.

Claim (Index 5):
The detector defined in  claim 2 , further comprising:\n fourth and fifth electrodes in the seat back at the same vertical spacing from the surface element and at the same horizontal spacing from a front face of the seat back.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 97.0
- Lexical Diversity: 1.90123
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15552028', '16073211', '15839945', '12514854', '12658846']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.659797960103716
- 35 USC 102 Novelty (BERT): 0.5068404635893071
- Combined Prediction Score: 0.6445022104522752
- Mean Citation Score: 167.94580000000005
- Max Citation Score: 172.83498
- Similarity Product: 99.54635106320858

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