Research on optimal interaction interface design for ships based on machine learning algorithms
To reduce the interaction frequency and time between users and the system,improve the response speed and processing capability of the system,a machine learning algorithm based optimal interaction interface design method for ships is proposed.This method designs the structure of the ship interaction interface and the intuitive state of button interaction.It optimizes the layout of the ship interaction interface using visual attention partitioning to obtain the optimal interaction inter-face for the ship.Then,it establishes a gesture library and instruction library for the optimal interaction interface for the ship.The camera captures the gesture image of the staff and inputs it into the machine learning algorithm to recognize the current gesture of the staff and drive the corresponding gesture instructions in the instruction library,achieving the optimal interac-tion interface for the ship.The experiment shows that the optimal interaction interface designed by the method in this article for ships is comprehensive and concise,effectively presenting current ship navigation related status data.At the same time,the designed optimal interaction interface for ships recognizes interaction gestures more accurately and has strong interac-tion capabilities.
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