Human Emotion Detection using Eeg Sensor 
Meghana Gupta Arakere1, Avik Seal2, Rajarshi Karmakar3, V. Nithya4
1Meghana Gupta Arakere*, Student, Department of Electronics and Communications, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, Tamil Nadu, India.
2Avik Seal, Student, Department of Electronics and Communications, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, Tamil Nadu, India.
3Rajarshi Karmakar, Student, Department of Electronics and Communications, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, Tamil Nadu, India.
4Dr. V. Nithya, Associate Professor, Department of Electronics and Communications, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, Tamil Nadu, India.
Manuscript received on April 11, 2020. | Revised Manuscript received on May 15, 2020. | Manuscript published on June 30, 2020. | PP: 409-413 | Volume-9 Issue-5, June 2020. | Retrieval Number: E9326069520/2020©BEIESP | DOI: 10.35940/ijeat.E9326.069520
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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: This is a data visualization art piece using 10 seconds of mind waves recordings of the human, captured with EEG sensor.10 seconds of Alpha, Beta, Gamma & Theta brain waves while meditating are recorded, the different wave channels are categorized to state when the right brain representing artistic brain activity, isolating the ranges for each channel when the brain channels were more meditating and imaginative. Based on the waves of the brain obtained, we will be able to deduce few attributes such as attention span and mood. The moods we will be trying to assess and display here the level of happiness, sadness, anger along with attention span and meditation level (Concentration level).
Keywords: About four key words or phrases in alphabetical order, separated by commas.