PATENT CLAIM ANALYSIS

Application Number: 15927830
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["340", "575000"]

Abstract:
A monitoring system and method for monitoring and/or predicting drowsiness of a driver of a vehicle or a machinery operator are provided. A set of infrared, IR, or near infrared, NIR, light sources, is arranged such that an amount of the light emitted from the light source incidents on an eye of the driver or operator. The light that impinges on the eye of the driver or operator forms a virtual image of the signal sources on the eye including the sclera and/or cornea. An image sensor obtains consecutive images capturing the reflected light, wherein each image will contain glints from at least a subset or all of the light sources. A drowsiness index can be determined based on the extracted information of the glints of the sequence of images, wherein the drowsiness index indicates a degree of drowsiness of the driver or operator.

Claim (Index 16):
The method according to  claim 10 , wherein:\n the image sensor is arranged to capture a sequence of images, each image in the sequence including a glint image of the glint pattern; and the method further comprises determining the amplitude measure based on the sequence of glint images.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 2.08
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12749612', '13678922', '14523166', '15206670', '15669572']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.744054624940481
- 35 USC 102 Novelty (BERT): 0.5645804893402161
- Combined Prediction Score: 0.7261072113804545
- Mean Citation Score: 340.5676
- Max Citation Score: 429.40872
- Similarity Product: 373.9025538838291

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