PATENT CLAIM ANALYSIS

Application Number: 16451457
Application Type: Utility
Filing Date: 2019-06
Publication Date: 2019-10
Patent Classification: ["340", "005720"]

Abstract:
A user identification system includes: a detection unit that detects prescribed motions of a person when the person boards or alights from a vehicle; an acquisition unit that acquires types of boarding information indicating that one of users boards or is on board the vehicle when one of the motions is detected; a memory that stores association information in which identification information of the users is associated with the types of boarding information corresponding to the users; a probability calculating unit configured to calculate a probability that each of the users boards or is on boarded the vehicle based on the types of boarding information and the association information; and an identification unit that identifies a user who boards or is on boarded the vehicle among the users based on the probability calculated by the probability calculating unit.

Claim (Index 2):
The user identification system according to  claim 1 , wherein\n the operation (a) includes determining, the probability based on a plurality of types of boarding information indicating that one of the plurality of users registered in the vehicle in advance boards or is on board the vehicle, the plurality of types of boarding information including a first type of boarding information which is acquired to correspond to one of a plurality of seats in the vehicle, and the operations further include (d) identifying a seat of the user who boards or is on board the vehicle among the plurality of seats based on the first type of boarding information.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 100.0
- Lexical Diversity: 2.44068
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15694194', '15843147', '15702302', '16273443', '13450045']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6902323680329545
- 35 USC 102 Novelty (BERT): 0.5887314413626485
- Combined Prediction Score: 0.6800822753659239
- Mean Citation Score: 254.85906800000004
- Max Citation Score: 484.52094000000005
- Similarity Product: 424.3527450763892

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