Date of Publication :3rd June 2024

Abstract:Emotions are one of the driving powers of our lives, affecting various aspects of our lives. This research paper aims to present a mood-based API system that uses physiological parameters like Heart Rate Variability (HRV) and Electrodermal Activity (EDA) to detect and analyse an individual’s emotional state by considering the physiological data and subjective responses. The API comprises elements performing data collection from wearable devices, processing it onto a server, and predicting the result in the form of plain data on web-based applications, The web-based application allows users to interact with API and evolve the algorithm. The wearable device records HRV and EDA data in a specific time, which are processed using machine learning algorithms to determine the individual's emotional state.

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