PATENT CLAIM ANALYSIS

Application Number: 16011437
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["701", "301000"]

Abstract:
A method for determining event data including: sampling a first data stream within a first time window at a first sensor of an onboard vehicle system coupled to a vehicle, extracting interior activity data from the first data stream; determining an interior event based on the interior activity data; sampling a second data stream within a second time window at a second sensor of the onboard vehicle system; extracting exterior activity data from the second image stream; determining an exterior event based on the exterior activity data; correlating the exterior event and the interior event to generate combined event data; automatically classifying the combined event data to generate an event label; and automatically labeling the first time window of the first data stream and the second time window of the second data stream with the combined event label to generate labeled event data.

Claim (Index 15):
The method of  claim 14 , wherein extracting interior activity data comprises determining a mean time interval between steering inputs based on the gyroscope data, and wherein determining the interior event comprises determining a driver distraction event based on the mean time interval exceeding a threshold duration.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 94.0
- Lexical Diversity: 3.25532
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16011013', '15621835', '15805348', '14829272', '16011269']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3918948414177026
- 35 USC 102 Novelty (BERT): 0.4795523840071234
- Combined Prediction Score: 0.4006605956766447
- Mean Citation Score: 127.4452152
- Max Citation Score: 152.51764
- Similarity Product: 106.42596988942384

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