There are multiple indicators of an individual’s aptitude and personality which cannot be deciphered visually through the eye. Technology can play a vital role for finding out the essential information when an individual is in different situations. Using the amalgamation of concepts like Electro dermal Activity, Pulse Rate Sensing, Emotion and Sentiment Analysis, an individual’s stress as well as emotional state, under different scenarios, can be identified. This information can provide meaningful insights for evaluating the characteristics of an individual. These insights can be beneficial in analyzing how individual acts under various circumstances which will eventually help companies and government agencies in applications like recruitment, investigation, and lie detection process, to name a few. This will add a layer of security from the perspective of technology for human well being.


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    Title :

    Stress and Emotion Analysis using IoT and Deep Learning


    Contributors:


    Publication date :

    2020-11-05


    Size :

    371700 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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