PATENT CLAIM ANALYSIS

Application Number: 15994865
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-12
Patent Classification: ["340", "576000"]

Abstract:
A method and apparatus may be used in a vehicle to generate a dynamic driver score. The method may include collecting data. The data may be collected at a predetermined interval. The data may include one or more frames. Each frame may correspond to the predetermined interval and may be divided into segments. Each frame may include a first acceleration data and a second acceleration data. The first acceleration data may be associated with an acceleration of a vehicle at a first segment of the frame, and the second acceleration data may be associated with an acceleration of the vehicle at a second segment of the frame. The frames may be grouped using machine learning methods to determine the driver score. The driver score may be used to modify driving behavior.

Claim (Index 6):
The method of  claim 5 , further comprising:\n updating each of the plurality of machine learning methods based on the final classification of each of the plurality of frames.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 93.0
- Lexical Diversity: 2.66038
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13848230', '15613919', '15497458', '15391986', '15298557']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6506244122737271
- 35 USC 102 Novelty (BERT): 0.5159051273057822
- Combined Prediction Score: 0.6371524837769327
- Mean Citation Score: 155.579478
- Max Citation Score: 164.52205
- Similarity Product: 84.24411925147473

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