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 10):
A method for monitoring and predicting drowsiness of a driver of a vehicle or a machinery operator, comprising:\n emitting light using a set of infrared or near infrared light sources, each light source being arranged to direct light towards an eye of a driver or operator, wherein the emitted light from the set of light sources forms a glint pattern on the eye; capturing light reflected from the eye in an image using an image sensor; processing the images to extract information of the light reflected from the eye; determining multiple glints in the glint pattern of the light reflected from the eye; determining a number of the multiple glints visible at a point in time; determining an amplitude measure, the amplitude measure indicating an amplitude of an eye opening or eye closure, the amplitude measure being based on the number of the multiple glints visible from the glint pattern over time; and determining a drowsiness index value based on the amplitude measure and the glint pattern.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 2.08
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['12749612', '13678922', '14523166', '15206670', '15669572']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7190331957115403
- 35 USC 102 Novelty (BERT): 0.5662012185314372
- Combined Prediction Score: 0.70374999799353
- Mean Citation Score: 340.5676
- Max Citation Score: 429.40872
- Similarity Product: 411.84368004831794

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