PATENT CLAIM ANALYSIS

Application Number: 16064301
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-01
Patent Classification: ["340", "539130"]

Abstract:
A method and system for viral identification of evacuees are provided. The method is recursive and involves bringing an emergency warden and a midstream evacuee in close proximity with one another to enable a handheld computing device belonging to one of the two to read information from the other, enabling the handheld computing device to read the information, having the handheld computing device read the information to enable an identification of the midstream evacuee, providing the identifier of the midstream evacuee to a central mustering server, whereby the midstream evacuee is enabled to act as an emergency warden, and performing the method with the midstream evacuee acting as an emergency warden with respect to another evacuee before the central mustering server. The method provides the advantage of virally identifying evacuees within the confines of a muster point in an efficient and reliable manner.

Claim (Index 28):
The computer readable medium of  claim 18 , wherein said processor is further caused to receive a selection of a communication technology from said midstream evacuee, and at least one of said first transfer of information and said second transfer of information is performed over said communication technology.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 94.0
- Lexical Diversity: 2.22059
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15214105', '15939470', '13607657', '13894609', '14426088']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6559555958278865
- 35 USC 102 Novelty (BERT): 0.5221975034733809
- Combined Prediction Score: 0.642579786592436
- Mean Citation Score: 197.136638
- Max Citation Score: 219.3911
- Similarity Product: 129.68319887088538

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

Dataset: test