PATENT CLAIM ANALYSIS

Application Number: 15770622
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-02
Patent Classification: ["340", "576000"]

Abstract:
The present disclosure provides a wakefulness determination method for accurately determining wakefulness. The wakefulness determination method uses a respiration sensor that obtains respiratory data about respiration of a seated occupant, a calculation unit that calculates the respiratory data obtained from the respiration sensor, and a controller including a determination unit that determines a state of the seated occupant. The wakefulness determination method includes: obtaining, by the respiration sensor, respiratory data of the seated occupant; calculating, by the calculation unit, a degree of change in respiration from the obtained respiratory data; and determining, by the determination unit, wakefulness of the seated occupant by using a Bayesian filter where a probability of occurrence of drowsiness in the seated occupant for the degree of change in respiration is taken as a likelihood and the likelihood is multiplied by a prior probability of occurrence of drowsiness.

Claim (Index 4):
The wakefulness determination method according to  claim 1 , wherein calculating the degree of change in respiration comprises calculating a respiration interval (RI), which is an interval for one respiration of the person, from the respiratory data obtained from the respiration sensor, and\n the likelihood includes a probability of occurrence of drowsiness in the person for the RI.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 91.0
- Lexical Diversity: 2.73684
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15030796', '12076873', '14413054', '11987447', '12073075']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6449143105538566
- 35 USC 102 Novelty (BERT): 0.5183675995583564
- Combined Prediction Score: 0.6322596394543065
- Mean Citation Score: 177.27783999999997
- Max Citation Score: 271.93784
- Similarity Product: 210.0957700221109

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test