PATENT CLAIM ANALYSIS

Application Number: 15934015
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-08
Patent Classification: ["600", "508000"]

Abstract:
Drowsiness onset detection implementations are presented that predict when a person transitions from a state of wakefulness to a state of drowsiness based on heart rate information. Appropriate action is then taken to stimulate the person to a state of wakefulness or notify other people of their state (with respect to drowsiness/alertness). This generally involves capturing a person's heart rate information over time using one or more heart rate (HR) sensors and then computing a heart-rate variability (HRV) signal from the captured heart rate information. The HRV signal is analyzed to extract features that are indicative of an individual's transition from a wakeful state to a drowsy state. The extracted features are input into an artificial neural net (ANN) that has been trained using the same features to identify when an individual makes the aforementioned transition to drowsiness. Whenever an onset of drowsiness is detected, a warning is initiated.

Claim (Index 1):
A method for detecting the onset of drowsiness in an individual, comprising:\n receiving heart rate (HR) information associated with the individual over time, the HR information including heart rate variability (HRV) information; extracting a plurality of different HRV-related features from the HR information, the extracted different HRV-related features indicative of individuals transitioning from a wakeful state to a drowsy state; combining the extracted different HRV-related features to produce a drowsiness detection input; inputting the drowsiness detection input into an artificial neural network (ANN) classifier that has been trained to distinguish between the wakeful state and the drowsy state of individuals based at least on the different HRV-related features; determining, based at least on an output of the ANN classifier, whether the individual is exhibiting an onset of drowsiness; and based at least on determining that the individual is exhibiting an onset of drowsiness, initiating a drowsiness onset warning.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 1.86517
- Patent Class: 600.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14974584', '15627288', '12613306', '13490044', '15792085']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4508570861942357
- 35 USC 102 Novelty (BERT): 0.5948402087423156
- Combined Prediction Score: 0.4652553984490437
- Mean Citation Score: 279.333532
- Max Citation Score: 591.75287
- Similarity Product: 453.1367300295729

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