Abstract: The present disclosure provides a wearable device, which includes: a frame adapted to be worn on a body part of a user. The frame includes: one or more sensors configured in a housing and operative to sense one or more parameters associated with the body of the user to generate one or more signals indicative of the one or more sensed parameters when the wearable device is worn; a processor configured in the housing and operatively coupled with the one or more sensors, the processor operative to analyze the one or more signals to extract one or more attributes associated with the user from the one or more signals, wherein the one or more attributes being indicative of emotional states of the user; and a display device configured at a portion of the housing and operatively coupled with the processor, wherein the display device is configured to indicate, based on the extracted one or more attributes of the user, the emotional states of the user.

Abstract: Various embodiments of the present disclosure provide a system and method for real-time estimation and changing emotional state of a user. The system comprises a memory configured to store executable instructions and a processor configured to execute the executable instructions stored in the memory, the processor configured to: collect bio physiological data of the user from a smart wearable device of the user, validate the bio physiological data, extract features based on the validated bio physiological data, and train a machine learning model using the extracted features for the real-time estimation of emotional state of the user, and provide personalized recommendations for changing the emotional state of the user.