PATENT CLAIM ANALYSIS

Application Number: 16177683
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-06
Patent Classification: ["340", "575000"]

Abstract:
A drowsiness estimating apparatus is provided with: an imager configured to take a face image of a driver of a vehicle; a detector configured to detect a duration of a mouth movement of the driver and whether or not the mouth movement has periodicity, on the basis of the face image; a determinator configured to determine a type of the mouth movement on the basis of the duration and whether or not the mouth movement has the periodicity; and an estimator configured to estimate drowsiness of the driver on the basis of the type of the mouth movement.

Claim (Index 3):
The drowsiness estimating apparatus according to  claim 2 , wherein said determinator is configured (i) to determine that the type of the mouth movement is the mouth movement by drowsiness if the duration is less than a first predetermined time, (ii) to determine that the type of the mouth movement is the mouth movement by eating if the duration is greater than the first predetermined time and if the mouth movement has the periodicity, and (iii) to determine that the type of the mouth movement is the mouth movement by conversation if the duration is greater than the first predetermined time and if the mouth movement has no periodicity.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 98.0
- Lexical Diversity: 2.53659
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12076873', '13386503', '13201189', '14147580', '12428745']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6877406019141683
- 35 USC 102 Novelty (BERT): 0.5068936964852897
- Combined Prediction Score: 0.6696559113712804
- Mean Citation Score: 169.371286
- Max Citation Score: 182.23183
- Similarity Product: 109.72445953778264

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