METHOD, DEVICE, AND SYSTEM FOR DETERMINING A FALSE TOUCH ON A TOUCH SCREEN OF AN ELECTRONIC DEVICE USING AN AI MODEL

The touch screen system includes a touch input detector for detecting a touch input in order to obtain a touch result value through the touch screen, and detecting at least two of a time interval of the detected touch input, a touch area of the touch input, a touch intensity of the touch input, or a temperature of the touch input, a touch type classifier for outputting whether the detected touch input is a normal touch or a false touch from a learned AI model, and a communicator for communicating with the server, the communicator transmitting to the server, and the server includes an AI model learner for generating the learned AI model. According to the present disclosure, it is possible to determine the touch error by using the AI, the AI based false touch recognition technology, and the 5G network.