PATENT CLAIM ANALYSIS

Application Number: 15973889
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-11
Patent Classification: ["701", "045000"]

Abstract:
Methods and mechanisms for a shoulder belt assembly for a vehicle are provided. The shoulder belt assembly includes a shoulder belt mechanically coupled to a seat in the vehicle, a control module operationally coupled to the shoulder belt and a vehicle management system, the control module configured to detect current movement of the vehicle and passenger information for a passenger in a seat, identify an event, and generate a customized control signal that is a function of the current movement of the vehicle and a physical characteristic of the passenger in the seat. The shoulder belt assembly also has a load limiting mechanism configured to respond to the control signal by, causing a fold in the shoulder belt, the fold having the characteristics of (i) being oriented width-wise, and (ii) having a substantially uniform fold depth; and holding the fold in accordance with the control signal.

Claim (Index 11):
The vehicle of  claim 10 , wherein the control module is additionally configured to:\n detect a position and an orientation of the seat in the vehicle; and generate the control signal further as a function of the position and the orientation of the seat in the vehicle.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 2.33333
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12557625', '11083280', '14651251', '09969160', '15476315']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4529110723066516
- 35 USC 102 Novelty (BERT): 0.472164835369542
- Combined Prediction Score: 0.4548364486129407
- Mean Citation Score: 167.203806
- Max Citation Score: 174.23412
- Similarity Product: 128.33022559671878

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