Now showing items 1-12 of 12

    • Challenges in developing a driver monitoring system 

      Arun, Sahayadhas; Sundaraj, Kenneth, Prof. Dr.; Murugappan, M., Dr. (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      For safe journey, the behavior of the driver has to be monitored. Statistics prove that most of the road accidents are due to driver abnormal behavior like drowsiness, inattention and drunk and drive. If a monitoring system ...
    • Detecting driver drowsiness based on sensors-a review 

      Sahayadhas, Arun; Sundaraj, Kenneth, Prof. Dr.; Murugappan, M (Multidisciplinary Digital Publishing Institute (MDPI), 2012)
      In recent years, driver drowsiness has been one of the major causes of road accidents and can lead to severe physical injuries, deaths and significant economic losses. Statistics indicate the need of a reliable driver ...
    • Driver inattention detection methods: a review 

      Sahayadhas, Arun; Sundaraj, Kenneth, Prof. Dr.; Murugappan, M (IEEE Conference Publications, 2012)
      In recent years, driver inattention or distraction is one of the major causes for road accidents. If the distracted driver is alerted on time, most of the physical injuries, deaths, and economic losses can be avoided. To ...
    • Drowsiness detection during different times of day using multiple features 

      Sahayadhas, Arun; Sundaraj, Kenneth, Prof. Dr.; Murugappan, M (Springer Netherlands, 2013)
      Driver drowsiness has been one of the major causes of road accidents that lead to severe trauma, such as physical injury, death, and economic loss, which highlights the need to develop a system that can alert drivers of ...
    • EEG dynamics in neurological disorders: Parkinson's disease and stroke 

      Yuvaraj, Rajamanickam; Murugappan, M; Sundaraj, Kenneth, Prof. Dr. (IEEE Conference Publications, 2012)
      The electroencephalogram (EEG) signals provide oscillatory dynamics and valuable information about brain function. In fact, this permits the detection of changes in neurological state which are especially useful in the ...
    • 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 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 ...
    • Hypovigilance detection using energy of electrocardiogram signals 

      Arun, S.; Sundaraj, Kenneth, Prof. Madya Dr.; Murugappan, M. (NISCAIR PUBLICATIONS, 2012-12)
      Driver drowsiness and driver inattention are the major causes for road accidents leading to severe traumas such as physical injuries, deaths, and economic losses. This necessitates the need for a system that can alert the ...
    • 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 ...
    • Methods and approaches on emotions recognition in neurodegenerative disorders: a review 

      Yuvaraj, Rajamanickam; Murugappan, M; Sundaraj, Kenneth, Prof. Dr. (IEEE Conference Publications, 2012)
      Emotion is one of the key factors for estimating the human behavior through verbal or non-verbal communication. Development of emotion recognition system gains a major attention in several applications, mainly in brain ...
    • 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 ...
    • Review of emotion recognition in stroke patients 

      Yuvaraj, Rajamanickam; Murugappan, M; Mohamed Ibrahim, Norlinah; Sundaraj, Kenneth, Prof. Dr.; Mohamad, Khairiyah (Karger AG, Basel., 2013)
      Objective: Patients suffering from stroke have a diminished ability to recognize emotions. This paper presents a review of neuropsychological studies that investigated the basic emotion processing deficits involved in ...