Differentiating Trauma from Normal Human Emotion Using Recurrent Neural Network
R. Sofia1, D. Sivakumar2
1R.Sofia, Ph.D Research Scholar, Dept. of Electronics and Instrumentation, Annamalai University, Chidambaram, India
2D. Sivakumar, Professor, Dept. of Electronics and Instrumentation, Annamalai University, Chidambaram, India
Manuscript received on 07 August 2019. | Revised Manuscript received on 15 August 2019. | Manuscript published on 30 September 2019. | PP: 6752-6755 | Volume-8 Issue-3 September 2019 | Retrieval Number: C3994098319/19©BEIESP | DOI: 10.35940/ijrte.C3994.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper Trauma identification has been done by using the Recurrent Neural Network, which will be greatly helpful in understanding the human normal emotional condition (happy, anger, sad, neutral, disgust, fear), as well as the network will efficiently differentiate the Traumatic condition of the person from the normal condition.
Keywords: Recurrent Neural Network
Scope of the Article: Human Computer Interaction