AI-Powered Emotion Recognition for Maritime Safety Enhancement

Abstract: This paper delineates an initiative to devise an emotion recognition system bespoke for nautical settings, employing artificial intelligence (AI) and an array of biosensors. The system will integrate speech emotion recognition (SER) technology to discern emotions such as anger, fear, joy, and sorrow through voice patterns. Additionally, biosensors like skin conductance (EDA/GSR), electrocardiography (ECG), and eye-tracking technology will collect further physiological data. The aggregated data will be analysed to assess the emotional state of the individuals involved.A virtual mock-up, simulating a maritime environment complete with weather dynamics and potential equipment malfunctions that could induce stress or anxiety, will be created. This virtual environment will endeavour to achieve a high degree of realism to heighten the immersion of participants in the simulated scenario. AI algorithms will adjust this environment in real time in response to the user's emotional state to enhance the user experience (UX). For example, should the system detect stress or anxiety, the virtual scenario may transition to a calming seascape to encourage relaxation and alleviate stress.Future developments will see the incorporation of a real-time alarm mechanism capable of notifying essential personnel, such as the ship's captain or supervisor, upon detection of emotional states that warrant attention. This alert system is designed as a preventive measure, aiming to avert more serious consequences like accidents, errors, or more grave incidents. The system will also proffer recommendations for intervention or actions based on the detected emotional state.The project's goal is to introduce an avant-garde approach to monitoring and supporting the mental health and safety of maritime professionals. It aspires to detect emotional fluctuations instantaneously, provide interventions, and adjust the environment to promote relaxation and minimise stress. The project is expected to yield practical implications for the maritime industry and other high-risk work environments where the mental health and safety of workers are paramount. In conclusion, the project's outcomes are projected to offer practical benefits for the maritime sector and other high-risk occupations, ensuring the monitoring and support of workers' mental health and safety.

Keywords: Maritime Emotion Recognition System, AI-based Mental Health Monitoring, High-Risk Work Environments Intervention

DOI: 10.54941/ahfe1004824

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