Human-Machine Interaction Model for Potential Threat of Enemy Warship and Operator Expression

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AbstractTo provide the operator with a suitable scheme for the command operation of the warship, considering the potential threat of enemy warship and operator expression, we propose a human-machine interaction model based on deep neural network. This model employs fuzzy neural network(FNN) to predict potential threat of enemy warships and convolutional neural network(CNN) for expression recognition. In addition, we fuse the auxiliary features affecting warship command with the potential threat of the enemy warship and the operator’s expression through deep neural network, which together constitute a human-machine interaction model. The experimental results show that regardless of the changes in maritime situation, this human-machine interaction model provides a suitable human-machine interaction scheme for the operator’s command operations.KeywordsHuman-machine interactionNeural networkPotential threat predictionExpression recognition