PATENT CLAIM ANALYSIS

Application Number: 15938492
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-02
Patent Classification: ["340", "576000"]

Abstract:
Methods and apparatuses for safety enhanced computer-assisted driving. In embodiments, an apparatus for computer-assisted driving may include a neural network to determine a classification for behavior of a driver of a vehicle having the apparatus, based at least in part on data about the vehicle collected in real time, and a current level of stress or drowsiness of the driver determined in real time; and a safety action engine coupled to the neural network to determine a safety related action, based at least in part on the determined driver behavior classification and data related to current traffic or road condition of a route the vehicles is currently traveling on. The safety related action may be performed by an infotainment system or a navigation system of the vehicle to assist the driver in driving the vehicle in a safer manner.

Claim (Index 6):
The apparatus of  claim 5 , wherein at least one of the first neural network, the second neural network is a selected one of a multilayer feedforward neural network, a convolution neural network or a recurrent neural network.

Metadata:
- Claim Count in Document: 12.0
- Percentile: 90.0
- Lexical Diversity: 2.16176
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14589903', '14581712', '15902729', '12613306', '13755194']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6594222384259842
- 35 USC 102 Novelty (BERT): 0.5041903519835579
- Combined Prediction Score: 0.6438990497817416
- Mean Citation Score: 127.853322
- Max Citation Score: 135.08174
- Similarity Product: 77.18551926086664

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

Dataset: test