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 9):
The computing system of  claim 8 , wherein the HR information comprises a raw HR signal captured by the one or more HR sensors which is transmitted to said mobile device carried by the individual.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 1.86517
- Patent Class: 600.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14974584', '15627288', '12613306', '13490044', '15792085']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4778561276361351
- 35 USC 102 Novelty (BERT): 0.6035265861640088
- Combined Prediction Score: 0.4904231734889225
- Mean Citation Score: 279.333532
- Max Citation Score: 591.75287
- Similarity Product: 476.504688988803

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