Data Mining for Human Emotions Classification Based on Skin Conductance Response and Heart Rate - A Survey

Extracting and inspecting essential information from the data sets and discovering the patterns, creating and models is the process of Data mining. Emotion prediction classifier is doing wonders with heart rate signals. The heart rate signals are monitored by showcasing the virtual images. The heart rate recording along with the emotions is also documented. Based on the data, emotions related to similar heart rate data set values are classified. In recent times, similar techniques are followed for Skin conductance too. Predicting emotions may help to handle different scenarios which may lead to difficult situation by humans. Emotions significantly influence on decision making as like intelligence and perception. A person's physiological mental state like positive emotions will mostly lead to good progressive successful decisions whereas a negative emotion or mental physiological state will mostly lead to deteriorating health or depression. This paper aims at the study of Galvanic Skin Response (GSR), a method to detect the skin conductance. Medical applications with few parameters and algorithms are also discussed.