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@article{158595,
        author = {A. SATHI BABU and P.N.B. Swamy and CH. SAI SINDHU and G. PREETHI and B. PRUDHVIK and G. ASHOK},
        title = {CONTROL ABNORMAL SITUATIONS WITH FACIAL EXPRESSIONS USING DEEP LEARNING TECHNIQUES},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {10},
        pages = {158-163},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=158595},
        abstract = {In this model we give the overview of the work done in the past related to Emotion Recognition using Facial expressions along with our approach towards solving the problem. Based on the expression detected by the system it displays the output about the problems it may lead to like for example, if the system detects that the person is angry it displays a warning that your blood pressure may increase and it may deteriorate your health. 
The system operates under two different conditions one when the system is having internet access and other when it doesn’t have internet access. When the system is having internet access, based on different expressions recognised the system displays a precaution and redirects to different links based on different expressions like For Example, if the system detects that the person is sad then it displays a warning which says your sadness may lead to depression and suggests you to listen songs and redirects you to Spotify page to play some soothing music. And when the system doesn’t have internet access, it detects the expression and displays a warning based on your expression.
},
        keywords = {Blood pressure, Depression, Emotion Recognition, Precautions.},
        month = {},
        }