PATENT CLAIM ANALYSIS

Application Number: 15915175
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["073", "862381"]

Abstract:
A seat occupancy sensor includes: a first sensor group having a plurality of first sensor cells that are arrayed in a front-rear direction of a seat and become conductive as a load is applied thereto; a second sensor group having a plurality of second sensor cells that are arrayed in the front-rear direction, farther on a front side of the seat and closer to an end of the seat in a width direction than the first sensor group, and that become conductive as a load is applied thereto; and an electronic control unit. The electronic control unit determines that someone is sitting on the seat when both of at least one of the first sensor cells and at least one of the second sensor cells become conductive.

Claim (Index 1):
A seat occupancy sensor comprising:\n a first sensor group having first detection units as a plurality of detection units that are arrayed in a front-rear direction of a seat of a vehicle and that become conductive as a load is applied thereto; a second sensor group having second detection units as a plurality of detection units that are arrayed in the front-rear direction, farther on a front side of the seat and closer to an end of the seat in a width direction than the first sensor group, and that become conductive as a load is applied thereto; and an electronic control unit configured to determine that someone is sitting on the seat when both of at least one of the first detection units and at least one of the second detection units become conductive.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 90.0
- Lexical Diversity: 2.48148
- Patent Class: 73.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['13771784', '13771591', '14492480', '12290446', '11910277']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6978322555316425
- 35 USC 102 Novelty (BERT): 0.4670049777585822
- Combined Prediction Score: 0.6747495277543366
- Mean Citation Score: 162.06016200000005
- Max Citation Score: 173.59599999999998
- Similarity Product: 134.52065087032315

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