Open Access Journal

ISSN : 2394 - 6849 (Online)

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Open Access Journal

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

ISSN : 2394-6849 (Online)

Mental State Evaluation by using Signal Processing

Author : Mallikarjun H M 1 Dr. P Manimegalai 2 Dr. H N Suresh 3

Date of Publication :7th May 2016

Abstract: Emotion detection of the person by collecting the EGG data, signal from the brain by using “Mind wave Mobile”, which gives the raw EGG waves by the non invasive method only using single electrode. Person by watching the different emotional videos his emotion differs and also the electrical different EGG wave Alpha, Beta, Delta, Gama and theta varies, different waves having its nativity according to the emotional changes. Lucid scribe application support to collection of data from the Mobile mind wave, the data exported to the excel and by finding the minimum and maximum value of every EGG wave, this is in the numerical values, trained to the Neural Network by using the (ANFIS) Adaptive Neuro Fuzzy Inference System. Data with a extension of .mat file is trained to the ANFIS, testing of the data with the already trained data, output will exist in which emotion the person is, evaluated output may be 0 neutral,1 Happy, 2 Disgust, 3 Sad, 4 Angry. In this work Fuzzy based Mental state evaluation using signal processing is carried by preparing 280Samples are prepared by showing them different videos related to respective emotions. By using neuro sky’s mindwave kit brain waves are recorded at the forehead values are tabulated accordingly. 260 data samples trained and 20 are tested. The 3.2x10-3 error is observed after plotting test FIS against training data. As mindwave kit is wearable with Bluetooth support this work may be used in various applications.

Reference :

  1. [1] apeksha rani h. m, prathibha kiran international journal of soft computing and engineering (ijsce) issn: 2231- 2307, volume-5 issue-2, may 2015.

    [2] jukka kortelainen, member, ieee, and tapio seppänen 35th annual international conference of the ieee embs osaka, japan, 3 - 7 july, 2013

    [3] taciana saad rached and angelo perkusich an article of intech open science, open mind, http://dx.doi.org/10.5772/56227.

    [4] s.hatamikia and a.m nasrabadi, “recognition of emotional states induced by music videos based on nonlinear feature extraction and som classification”, 21st iranian conference on biomedical engineering, ieee 2014.

    [5] mr. a. anbumani and a. sathishkumar, “emotion analysis from physiological signal using EGG”, international journal of engineering sciences & management research, 1(2): issn: 2349-6193 july, 2014.


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