Title:
CHEATING DETECTION METHOD FOR SHOOTING GAME, MODEL TRAINING METHOD FOR SHOOTING GAME, AND DEVICE AND STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2022/127277
Kind Code:
A1
Abstract:
Provided are a cheating detection method for a shooting game, a model training method for a shooting game, and a device and a storage medium. After acquiring video data of a shooting game, a server detects, on the basis of the video data, an aiming path of a virtual shooting operation of a user in the shooting game, and classifies the aiming path according to a neural network model, so as to obtain a cheating detection result of the virtual shooting operation. Such an embodiment is easily deployed on a server side, and there is no need to deploy an anti-cheating program in a game terminal, and thus, a cheating detection strategy is not easily bypassed by a cheating user in a targeted manner. In addition, by relying on the strong learning and computing capabilities of a neural network model, whether a virtual shooting operation is a cheating behavior can be accurately identified on the basis of an aiming path, such that the accuracy and reliability of the cheating detection method are greatly improved.
Inventors:
GUAN WEI (CN)
ZHU FEI (CN)
ZHU FEI (CN)
Application Number:
PCT/CN2021/121452
Publication Date:
June 23, 2022
Filing Date:
September 28, 2021
Export Citation:
Assignee:
PERFECT WORLD ZHENGQI SHANGHAI MULTIMEDIA TECH CO LTD (CN)
International Classes:
A63F13/75
Foreign References:
| CN112642161A | 2021-04-13 | |||
| CN109304034A | 2019-02-05 | |||
| CN110339575A | 2019-10-18 | |||
| US20090181736A1 | 2009-07-16 |
Attorney, Agent or Firm:
TEKYRS INTELLECTUAL PROPERTY INC. (CN)
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