Browsing M. Murugappan, Dr. by Subject "Human emotions"

Now showing items 1-7 of 7

    • Asymmetric ratio and FCM based salient channel selection for human emotion detection using EEG 

      Mohamad Rizon, Mohamed Juhari; Murugappan, M.; Ramachandran, Nagarajan; Sazali, Yaacob (World Scientific abd Engineering Academy and Scoiety (WSEAS), 2008)
      Electroencephalogram (EEG) is one of the most reliable physiological signals used for detecting the emotional states of human brain. We propose Asymmetric Ratio (AR) based channel selection for human emotion recognition ...

    • Classification of human emotion from eeg using discrete wavelet transform 

      Murugappan, M.; Ramachandran, Nagarajan; Sazali, Yaacob, Prof. Dr. (Scientific Research Publishing Inc, 2010-04)
      In this paper, we summarize the human emotion recognition using different set of electroencephalogram (EEG) channels using discrete wavelet transform. An audio-visual induction based protocol has been designed with more ...

    • Frequency band analysis of electrocardiogram (ECG) signals for human emotional state classification using discrete wavelet transform (DWT) 

      Murugappan, Muthusamy, Dr.; Murugappan, Subbulakshmi; Bong, Siao Zheng (Society of Physical Therapy Science, 2013-06)
      [Purpose] Intelligent emotion assessment systems have been highly successful in a variety of applications, such as e-learning, psychology, and psycho-physiology. This study aimed to assess five different human emotions ...

    • Frequency band analysis of electrocardiogram (ECG) signals for human emotional state classification using discrete wavelet transform (DWT) 

      Murugappan, M., Dr.; Murugappan, Subbulakshmi; Zheng, Bong Siao (Society of Physical Therapy Science, 2013-06)
      [Purpose] Intelligent emotion assessment systems have been highly successful in a variety of applications, such as e-learning, psychology, and psycho-physiology. This study aimed to assess five different human emotions ...

    • An investigation on visual and audiovisual stimulus based emotion recognition using EEG 

      Murugappan, M.; Mohd Rizon, Mohammed Juhari; Nagarajan, Ramachandran, Prof. Dr.; Sazali, Yaacob, Prof. (Inderscience Enterprises Ltd., 2009-01)
      In this paper, we investigate the possibility of using visual and audio visual stimulus for detecting the human emotion by measuring electroencephalogram (EEG). Visual and audiovisual stimulus based protocols is designed ...

    • Lifting scheme for human emotion recognition using EEG 

      Murugappan, M., Dr.; Mohd Rizon, Mohamed Juhari; Nagarajan, Ramachandran, Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Ibrahim, Zunaidi; Hazry, Desa, Assoc. Prof. Dr. (IEEE Conference Publications, 2008-08)
      In recent years, the need and importance of automatically recognizing emotions from EEG signals has grown with increasing role of brain computer interface applications. The detection of fine grained changes in functional ...

    • Time-frequency analysis of EEG signals for human emotion detection 

      Murugappan, Muthusamy, Dr.; M.Rizon; R., Nagarajan; Sazali, Yaacob, Prof. Dr.; Hazry, Desa, Assoc. Prof. Dr.; Zunaidi, Ibrahim (Springer Berlin Heidelberg, 2008)
      This paper proposes an emotion recognition system from EEG (Electroencephalogram) signals. The main objective of this work is to compare the efficacy of classifying human emotions using two discrete wavelet transform (DWT) ...