PATENT CLAIM ANALYSIS

Application Number: 16118771
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-08
Patent Classification: ["726", "002000"]

Abstract:
One embodiment of the invention is a method utilizing a CAPTCHA to generate a human likeness score including blocks: a) receiving a user solution to the CAPTCHA; b) receiving a user interaction pattern descriptive of an interaction undertaken by the user, through a graphical interface of the CAPTCHA, to achieve the user solution; c) determining the accuracy of the user solution; d) comparing the user interaction pattern against an interaction model generated from interaction patterns of previous users; e) calculating the human likeness score based upon the determination of block c) and the comparison of block d), wherein the human likeness score lies within a continuum of human likeness scores.

Claim (Index 1):
A method for distinguishing a human user from automated software, the method comprising:\n receiving a request from a publisher for a human likeness score of a user accessing a web page through a web browser executing on a computing device; based on the request, collecting identification data of the user; collecting a cursor motion entered by the user into the web browser; extracting a noise component from the cursor motion; identifying a motion geometry in the cursor motion; accessing a noise model defining input noise characteristics of cursor inputs previously entered into graphical user interfaces by known humans; accessing a motion model characterizing cursor motion geometries previously entered into graphical user interfaces by known humans; calculating a human likeness score of the user based on a comparison of the noise component to the noise model and based on a comparison of the motion geometry to the motion model, the human likeness score lying within a continuum of human likeness scores; and associating the identification data of the user with a human determination based on the human likeness score falling within a range of human likeness scores corresponding to humans.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 96.0
- Lexical Diversity: 2.06557
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14734806', '13411071', '14292266', '12484837', '13740589']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2804144364418128
- 35 USC 102 Novelty (BERT): 0.5323525956289934
- Combined Prediction Score: 0.3056082523605309
- Mean Citation Score: 254.499766
- Max Citation Score: 374.19955
- Similarity Product: 350.9237321054518

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

Dataset: test