US 12,594,503 B2 · Submovement-based mouse input cheating detection

Abstract

A cheat detection methodology is disclosed that relates to identifying cheaters making super-human movements in interactive programs. For example, users trying to outcompete their opponents in video games using large aim assists and aim bots that perform actions that are not feasibly human. The disclosed methodology substantially reduces or even eliminates the benefit that various cheating solutions offer. In one aspect, the disclosure provides a method of monitoring cheating in interactive programs. In one example, the method includes: (1) obtaining motion data corresponding to a user input device responding to an interactive program, (2) segmenting data submovements from the motion data, and (3) determining data submovements that are a deviation of human submovements.

Claims25

Dependent claims

A method of monitoring cheating in interactive programs using one or more processors, comprising:

obtaining motion data corresponding to a user input device interacting with an interactive program;
segmenting data submovements from the motion data, wherein the data submovements are decompositions of the motion data;
and
determining data submovements that deviate from human submovements based on a derivative of a velocity of the data submovements, wherein the derivative of the velocity includes acceleration of the data submovements and the deviation is determined when the acceleration is constant.

1 more element

Dependencies are inferred from the claim text.

Submovement-based mouse input cheating detection

Life of this patent

Submovement-based mouse input cheating detection

Life of this patent

Abstract

Claims25