Browsing M. Murugappan, Dr. by Author "khairunizam@unimap.edu.my"

Now showing items 1-7 of 7

    • Classification of emotional States from electrocardiogram signals: a non-linear approach based on hurst 

      Selvaraj, Jerritta; Murugappan, M., Dr.; Wan Khairunizam, Wan Ahmad, Dr.; Sazali, Yaacob, Prof. Dr. (BioMed Central, 2013-05)
      Background: Identifying the emotional state is helpful in applications involving patients with autism and other intellectual disabilities; computer-based training, human computer interaction etc. Electrocardiogram (ECG) ...

    • Emotion detection from QRS complex of ECG signals using hurst exponent for different age groups 

      Selvaraj, Jerritta; Murugappan, M., Dr.; Wan Khairunizam, Wan Ahmad, Dr.; Sazali, Yaacob, Prof. Dr. (IEEE Conference Publications, 2013-09)
      Emotion recognition using physiological signals is one of the key research areas in Human Computer Interaction (HCI). In this work, we identify the six basic emotional states (Happiness, sadness, fear, surprise, disgust ...

    • Emotion recognition from electrocardiogram signals using Hilbert Huang Transform 

      Selvaraj, Jerritta; Murugappan, M., Dr.; Wan Khairunizam, Wan Ahmad, Dr.; Sazali, Yaacob, Prof. Dr. (IEEE Conference Publications, 2012-10)
      Equipping robots and computers with emotional intelligence is becoming important in Human-Computer Interaction (HCI). Bio-signal based methods are found to be reliable and accurate than conventional methods as they directly ...

    • Emotion recognition from facial EMG signals using higher order statistics and principal component analysis 

      Selvaraj, Jerritta; Murugappan, Muthusamy, Dr.; Wan Khairunizam, Wan Ahmad, Dr.; Sazali, Yaacob, Prof. Dr. (Taylor & Francis, 2014-04)
      Higher order statistics (HOS) is an efficient feature extraction method used in diverse applications such as bio signal processing, seismic data processing, image processing, sonar, and radar. In this work, we have ...

    • Frequency study of facial electromyography signals with respect to emotion recognition 

      Selvaraj, Jerritta; Murugappan, Muthusamy, Dr.; Wan Khairunizam, Wan Ahmad, Dr.; Sazali, Yaacob, Prof. Dr. (Walter de Gruyter GmbH, 2014-01)
      Emotional intelligence is one of the key research areas in human-computer interaction. This paper reports the development of an emotion recognition system using facial electromyogram (EMG) signals focusing the ambiguity ...

    • Human emotions classification and EEG channel reduction: A review 

      Intan Farlina Zaimatulaili, Mohd Idris; Murugappan, M., Dr.; Wan Khairunizam, Wan Ahmad, Dr. (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      Brain signals are collected from the human scalp through a set of electrodes placed over the entire scalp. In recent years, the researchers are using higher number of Electroencephalography (EEG) channels to collect the ...

    • Physiological signals based human emotion recognition: A review 

      S., Jerritta; M., Murugappan; Ramachandran, Nagarajan, Prof. Dr.; Wan Khairunizam, Wan Ahmad, Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2011-03-04)
      Recent research in the field of Human Computer Interaction aims at recognizing the user's emotional state in order to provide a smooth interface between humans and computers. This would make life easier and can be used in ...