FCM clustering of Human Emotions using Wavelet based Features from EEG(<Special Issue>Biosensors: Data Acquisition, Processing and Control)

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概要

• 論文の詳細を見る

• Recently, little attention has been paid to EEG signal for emotion recognition when compared to other physiological signals. This paper proposes an emotion recognition system from EEG (Electroencephalogram) signals. We designed an efficient acquisition protocol for acquiring the EEG signals under audio-visual induction environment for participants. Totally, 6 healthy subjects with an age group of 21-27 using 63 biosensors are used for registering the EEG signal for various emotions. After preprocessing the signals, discrete wavelet transform is employed to extract the EEG parameters. These extracted features are classified into discrete emotions using Fuzzy C-Means (FCM) clustering. Results confirm the possibility of using different wavelet transform based feature extraction for assessing the human emotions from EEG signal.

• バイオメディカル・ファジィ・システム学会の論文

著者

• MURUGAPPAN M.

  School of Mechatronics Engineering, Universiti Malaysia Perlis

• RIZON M

  Electrical Engineering Department, College of Engineering, King Saud University

• NAGARAJAN R.

  School of Mechatronics Engineering, Universiti Malaysia Perlis

• YAACOB S

  School of Mechatronics Engineering, Universiti Malaysia Perlis

• Rizon M

  School Of Mechatronics Engineering Universiti Malaysia Perlis (unimap)

• Nagarajan R.

  School Of Mechatronic Engineering Universiti Malaysia Perlis

• Yaacob S

  School Of Mechatronics Engineering Universiti Malaysia Perlis

• Murugappan M.

  School Of Mechatronics Engineering Universiti Malaysia Perlis

関連論文

• EEG Motor Imagery Classification of Hand Movements for a Brain Machine Interface(Biosensors: Data Acquisition, Processing and Control)
• Application of Particle Swarm Optimization for EEG Signal Classification(Contribution to 21 Century Intelligent Technologies and Bioinformatics)
• COMPARISON OF HUMAN EMOTION RECOGNITION THROUGH DIFFERENT SET OF EEG CHANNELS
• FCM clustering of Human Emotions using Wavelet based Features from EEG(Biosensors: Data Acquisition, Processing and Control)

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