Multi-Model Acquisition of Physiological Response for Emotion determination

Emotion is a mental state connected by the nervous system that alters feeling, behavioral responses, thoughts, and the level of pleasure or displeasure. Emotion is a core in how we behave and influence the decision that we make in our life. This system is lodged to determine the emotion by the physi...

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Bibliographic Details
Published in2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) pp. 1682 - 1685
Main Authors Mohan Kumar, P, Praghathiswari, K, Saranya, S, Jayanthi, Ve
Format Conference Proceeding
LanguageEnglish
Published IEEE 14.05.2024
Subjects
Accuracy
autonomous nervous system activity
galvanic skin response arduino
heart rate
Nervous system
non-invasive sensors
Physiological response
Physiology
pulse
Sensor phenomena and characterization
Temperature
Temperature measurement
Temperature sensors
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Summary:Emotion is a mental state connected by the nervous system that alters feeling, behavioral responses, thoughts, and the level of pleasure or displeasure. Emotion is a core in how we behave and influence the decision that we make in our life. This system is lodged to determine the emotion by the physiological responses that change with autonomous nervous system activity. This system is incorporated with non-invasive and low-cost sensors that measure physiological signals and with LCD as a display. Sensors are clubbed together for accurate results. The parameters measured are heart rate, blood pressure, temperature, and galvanic skin response (GSR). The variations in these parameters are discovered by using the Arduino interface. This device uses the Aurdino interface and experiment on real-life scenarios has an accurate outcome. The emotional characteristics such as happiness, sadness, fear, anger, surprise, and disgust were determined. The system was tested with 60 subjects and the results were tabulated.
DOI:10.1109/ICACITE60783.2024.10617306