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Cognizance the Action of Human by Applying Enhanced Techniques

Human conduct start`s daily practice by commerce with others. Commerce in the sense that it has much social companionship mainly through mobile phones. So far, we gather the human emotion through sentiment analysis by using a hybrid approach to determine the emotion through the text-based operation. Using EEG Signal, we can identify the voice-based data with the help of phone call log in k-means clustering method to gather the voice data. Using this data set, snowball sampling is used to locate the hidden information and describing the emotions of humans. In this paper, the analysis of emotion is done using three techniques such as facial recognition, speech recognition, textual analysis. For the facial recognition by predicting human emotion through webcam. The voice recognition of the human emotion is determined by recording the human voice and comparing with the frequency where the frequency has been collected and stored in the data-sets. The textual analysis is based on the classification of the statement in positive, negative and by general identification. This helps to identify whether the statement is activate or deactivate. From this above classifications we can determine the emotions of the human. The performance can be proven with our proposed work to find different emotions of humans by using existing enhanced techniques.