PATENT CLAIM ANALYSIS

Application Number: 16226735
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-04
Patent Classification: ["455", "456300"]

Abstract:
Provided are a method of identifying contact between terminals, and a computer program and an application for executing the method. The method for identifying contact between terminals according to this invention includes the server receiving from a first terminal a first state information data of a first terminal based on information about an external magnetic force of the first terminal generated by a first terminal; receiving, by the server, second state information data of the second terminal based on the information about the external magnetic force of the second terminal generated in the second terminal from the second terminal; determining whether a difference between a time when the first state information data is generated and a time when the second state information data is generated is within a preset time; and the step of transmitting a message to at least one of the first terminal and the second terminal according to the determination by the server.

Claim (Index 2):
The method according to  claim 1 , wherein the step of measuring the position of the first terminal comprises measuring the position of the first terminal when a variation of the first external magnetic force around the first terminal measured by the first terminal per unit time is greater than a predetermined value or when the first external magnetic force is greater than a preset value.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 98.0
- Lexical Diversity: 2.77966
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15554671', '13580251', '14778945', '14757557', '15481816']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6844972175396442
- 35 USC 102 Novelty (BERT): 0.511224851227569
- Combined Prediction Score: 0.6671699809084367
- Mean Citation Score: 143.23596700000004
- Max Citation Score: 281.6823
- Similarity Product: 210.4064977085709

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

Dataset: test