An Open Source Assistant for Human Emotion Analytics and Control for Incidental Investigations

Abstract

This article shows a new approach for developing a system which assists to analyze the human emotions based on the history and practice on emotional attitudes, moods and type. The history of human behaviors and practice recorded from the incidental investigations and which is represented open source as JSON text data files in various nodes is searched using an elastic search algorithm with parameters defined by a rule based engine for human emotion recognition. The system gives assistance or suggestions for investigation, based on statistical and predictive metrics generated from the search results. The paper also elucidates the various possible applications where the system can be implemented.