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 24):
A method for detecting transition of a train operators from a state of fitness to a state of incapacitation in real time by the steps of:\n providing in a train a computer control panel in wireless communication with a central command center, and a plurality of IP video cameras in operable communication with said control panel for the purposes of receiving train-operator video; maintaining a profile of a train operator at said central command center, said profile including historical safety data; monitoring said train operator at said control panel for safety-relevant events and transmitting and recording each said event at said central command center; classifying recorded events as one of a common cause failure, a non-self-revealing failure, and an incapacitation event capable of producing an unsafe outcome; analyzing each said recorded event in real time in association with said operator profile and said event classification to calculate a hazard rate; updating said profile of said train operator at said central command center.

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): 0.3834817712166278
- 35 USC 102 Novelty (BERT): 0.4975251011207771
- Combined Prediction Score: 0.3948861042070428
- Mean Citation Score: 128.8215972
- Max Citation Score: 168.38579
- Similarity Product: 103.17032237223684

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