PATENT CLAIM ANALYSIS

Application Number: 15938799
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-10
Patent Classification: ["701", "019000"]

Abstract:
A Fit-For-Duty network system and method that integrates several drowsiness detection devices with software analytics engine to more accurately predict, monitor and/or detect an actual unfit-for-duty condition or “positive event” in real time. The system monitors behavior based on changing operational conditions (such as speed of vehicle and pre-defined conditions, such as time of day and geographic conditions) to dynamically estimate both seriousness and probability of a positive event. Moreover, based on estimated seriousness and probability of a positive event the system self-initiates different levels of alerts ranging from light and sound, to connection to a third party intervener (such as an operations center), to stopping the vehicle.

Claim (Index 8):
The Fit-For-Duty system according to  claim 1 , wherein when the categorical severity metric exceeds said first predetermined threshold, vibrating said vehicle operator's seat.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 90.0
- Lexical Diversity: 1.5443
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13397410', '14820281', '10946396', '14900363', '14733446']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3841866056990081
- 35 USC 102 Novelty (BERT): 0.49468601525235
- Combined Prediction Score: 0.3952365466543423
- Mean Citation Score: 128.8215972
- Max Citation Score: 168.38579
- Similarity Product: 106.193910906713

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