PATENT CLAIM ANALYSIS

Application Number: 16162813
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-05
Patent Classification: ["340", "576000"]

Abstract:
A state estimation system includes a processor configured to: obtain first input data related to a first user; obtain second input data related to a second user; perform an estimation operation for estimating a state of the first user and a training operation for optimizing a content of the estimation operation by using i) first training data which includes the first input data and the first label data associated with each other, ii) second training data which includes the first input data so as not to associate the first input data and the first label data with each other, and iii) third training data which includes the second input data and the second label data associated with each other; and output information related to the content of the estimation operation.

Claim (Index 4):
The state estimation system according to  claim 1 , wherein:\n the processor is configured to estimate which the state of the first user is a first state or a second state different from the first state; and the first training data includes the first input data detected when the state of the first user is the first state and the first label data indicating that the state of the first user is the first state so as to associate the second input data and the first label data with each other.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 97.0
- Lexical Diversity: 2.8
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15345876', '12307602', '14772827', '14969109', '16061243']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6716730558870975
- 35 USC 102 Novelty (BERT): 0.4614384401192986
- Combined Prediction Score: 0.6506495943103175
- Mean Citation Score: 122.4703158
- Max Citation Score: 130.26866
- Similarity Product: 103.56159136747122

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