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 14):
The method according to  claim 13 , further comprising instructing an alert system to notify the driver or operator when the drowsiness index value has exceeded the predetermined drowsiness index threshold, with the notification being delivered by an alert signal comprising at least one of: an alert tone, an alert sound, an alert light signal, or a vibration signal.

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): 0.7206502973866211
- 35 USC 102 Novelty (BERT): 0.5625807583159192
- Combined Prediction Score: 0.7048433434795509
- Mean Citation Score: 340.5676
- Max Citation Score: 429.40872
- Similarity Product: 376.4531223312664

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