SIGNAL EMULATOR, MACHINE LEARNING METHOD OF LEARNING MODEL FOR IMAGE RECOGNITION, MACHINE LEARNING METHOD OF LEARNING MODEL FOR SIGNAL EMULATOR, AND MACHINE LEARNING SYSTEM OF LEARNING MODEL FOR IMAGE RECOGNITION

摘要

To provide a signal emulator, a machine learning method of a learning model for image recognition, a machine learning method of a learning model for the signal emulator, and a machine learning system of the learning model for image recognition, by using an operation determination system which easily determines a user's operation from an image.SOLUTION: A signal emulator 1 for emulating a second module 120 which receives an instruction signal from a first module 110 which receives an operation instruction by a user and outputs the instruction signal according to the operation instruction and outputs a response signal to the first module 110, outputs a response information by inputting the operation information and the instruction signal which are obtained by inputting a photographed image of an area including a touch panel display 112 to a learning model 43 for image recognition to a learning model for the signal emulator, and outputs the response signal on the basis of the response information.SELECTED DRAWING: Figure 4