PATENT CLAIM ANALYSIS

Application Number: 16113381
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-04
Patent Classification: ["073", "862541"]

Abstract:
Apparatus for measuring an amount of force required to apply a mechanical parking brake of a motor vehicle. The apparatus includes a body adapted for mounting to a parking brake lever of the type which is manually pivotable about an axis to apply a parking brake. First and second force sensors are disposed on the body at different distances from a pivot axis of the lever when the body is mounted to the lever. The force sensors measure force applied to a lower surface of the lever to cause the lever to pivot when the lever is pulled upward to apply the parking brake. An angle sensor is disposed on the body and measures an actuation angle through which the lever pivots about the pivot axis during application of the parking brake. An electronic unit reads respective first and second forces applied to the force sensors during pivoting of the lever, calculating therefrom an effective actuation force applied at a reference point on the lever, and associates the effective actuation force with the actuation angle.

Claim (Index 8):
Apparatus comprising:\n a body attachable to a vehicle parking brake lever pivotable about an axis; first and second force sensors disposed on the body at respective first and second distances from the axis when attached to the lever; and electronic means for reading first and second force components applied to the respective force sensors to rotate/pivot the lever and calculating therefrom an effective actuation force applied at a reference point on the lever.

Metadata:
- Claim Count in Document: 19.0
- Percentile: 96.0
- Lexical Diversity: 2.37662
- Patent Class: 73.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14503850', '13657481', '11679255', '11546385', '15447870']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6557983038853438
- 35 USC 102 Novelty (BERT): 0.4799457119457564
- Combined Prediction Score: 0.6382130446913851
- Mean Citation Score: 190.030144
- Max Citation Score: 198.53331
- Similarity Product: 156.94382100132287

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

Dataset: test