Browsing M. Murugappan, Dr. by Subject "Emotion"

Now showing items 1-7 of 7

    • Emotion classification in Parkinson's disease by higher-order spectra and power spectrum features using EEG signals: a comparative study 

      Yuvaraj, Rajamanickam; Murugappan, M., Dr.; Norlinah, Mohamed Ibrahim; Mohammad Iqbal, Omar@Ye Htut, Assoc. Prof. Dr.; Sundaraj, Kenneth, Prof. Dr.; Khairiyah, Mohamad; Palaniappan, Ramaswamy; Satiyan, Marimuthu (World Scientific Publishing Co. Pte Ltd, 2014-03)
      Deficits in the ability to process emotions characterize several neuropsychiatric disorders and are traits of Parkinson's disease (PD), and there is need for a method of quantifying emotion, which is currently performed ...

    • 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 processing in Parkinson's disease: an EEG spectral power study 

      Yuvaraj, Rajamanickam; Murugappan, M; Mohd Iqbal, Omar@Ye Htut, Assoc. Prof. Dr.; Norlinah, Mohamed Ibrahim; Sundaraj, Kenneth, Prof. Dr.; Khairiyah, Mohamad; Satiyan, M (Informa Healthcare, 2013)
      Objective: Although an emotional deficit is a common finding in Parkinson's disease (PD), its neurobiological mechanism on emotion recognition is still unknown. This study examined the emotion processing deficits in PD ...

    • Inter-hemispheric EEG coherence analysis in Parkinson's disease: Assessing brain activity during emotion processing 

      Yuvaraj, Rajamanickam; Murugappan, Muthusamy, Dr.; Norlinah, Mohamed Ibrahim, Dr.; Sundaraj, Kenneth, Prof. Dr.; Mohammad Iqbal, Omar@Ye Htut, Assoc. Prof. Dr.; Khairiyah, Mohamad; Palaniappan, Ramaswamy; Satiyan, Marimuthu (Springer-Verlag Wien, 2014-06)
      Parkinson's disease (PD) is not only characterized by its prominent motor symptoms but also associated with disturbances in cognitive and emotional functioning. The objective of the present study was to investigate the ...

    • On the analysis of EEG power, frequency and asymmetry in Parkinson's disease during emotion processing 

      Yuvaraj, Rajamanickam; Murugappan, M., Dr.; Norlinah, Mohamed Ibrahim; Mohd Iqbal, Omar@Ye Htut, Assoc. Prof. Dr.; Sundaraj, Kenneth, Prof. Dr.; Khairiyah, Mohamad; Palaniappan, Ramaswamy; Mesquita, Edgar; Satiyan, Marimuthu (BioMed Central Ltd., 2014-03)
      Objective: While Parkinson's disease (PD) has traditionally been described as a movement disorder, there is growing evidence of disruption in emotion information processing associated with the disease. The aim of this study ...

    • A physiological signal based approach on stress assessment through emotion, physical, and cognitive stimuli: A theoretical frame work 

      Murugappan, M., Dr.; Karthikeyan, P.; Bong, Siao Zheng; Ku Nor Syamimi, Ku Ismail; Sazali, Yaacob, Prof. Dr. (Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27)
      Stress is one of an unsteady state of human like uncontrolled machineries in industries. In order analysis effects of human stress, several studies have reported to identify the physiological and psychological variation ...

    • 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 ...