Emotion Detection to Prevent Suicide
Keywords:
Suicide rate, Emotions, Convolutional Neural Network.Abstract
India, a land of marvels, is outstanding in many aspects, its culture, ecosystem, etc. Sadly, it also ranks among the top countries in the world to have an annual suicide rate. Suicide might be considered as one of the most serious social health problems in the modern society. Suicidal ideation or suicidal thoughts are people’s thoughts of committing suicide. It can be regarded as a risk indicator of suicide. India is among the top countries among in the world to have annual suicide rate. Objective of Face Emotion Recognition (FER) is identifying emotions of a human for reduce the suicide rate. This system involves extraction of facial features, and threshold detection of stress using emotions expressed through face using the Convolutional Neural Network (CNN) algorithm. This system is basically used to classify positive and negative emotions and detects the stress based on usual threshold value.
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