Now showing items 1-20 of 67

    • Appraising human emotions using time frequency analysis based EEG alpha band features 

      M. Murugappan; Ramachandran, Nagarajan; Sazali, Yaacob (Institute of Electrical and Electronics Engineering (IEEE), 2009-07-25)
      In recent years, assessing human emotions through Electroencephalogram (EEG) is become one of the active research area in Brain Computer Interface (BCI) development. The combination of surface Laplacian filtering, ...
    • 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 ...
    • 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 ...
    • Classification of driver drowsiness level using wireless EEG 

      Mousa Kadhim, Wali; Murugappan, Muthusamy, Dr.; R. Badlishah, Ahmad, Prof. Dr. (Przegląd Elektrotechniczny, 2013)
      In this work, wireless Electroencephalogram (EEG) signals are used to classify the driver drowsiness levels (neutral, drowsy, high drowsy and sleep stage1) based on Discrete Wavelet Packet Transform (DWPT). Two statistical ...
    • 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) ...
    • 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 ...
    • Combining spatial filtering and wavelet transform for classifying human emotions using EEG Signals 

      Murugappan; Nagarajan, Ramachandran, Prof. Dr.; Sazali, Yaacob, Prof. Dr. (Biomedical Engineering Society of the R.O.C., 2011)
      In this paper, we present human emotion assessment using electroencephalogram (EEG) signals. The combination of surface Laplacian (SL) filtering, time-frequency analysis of wavelet transform (WT) and linear classifiers are ...
    • Comparison of different wavelet features from EEG signals for classifying human emotions 

      Murugappan, Muthusamy, Dr.; Nagarajan, Ramachandran, Prof. Dr.; Sazali, Yaacob, Prof. Dr. (Institute of Electrical and Electronics Engineering (IEEE), 2009-10-04)
      In recent years, estimation of human emotions from Electroencephalogram (EEG) signals plays a vital role on developing intellectual Brain Computer Interface (BCI) devices. In this work, we have collected the EEG signals ...
    • Descriptive analysis of skin temperature variability of sympathetic nervous system activity in stress 

      Karthikeyan, Palanisamy; Murugappan, M., Dr.; Sazali, Yaacob, Prof. Dr. (Society of Physical Therapy Science, 2012-12)
      [Purpose] Stress is a common factor of several diseases. Stress can be reduced through appropriate stress management and relaxation methods. In this study, variation in skin temperature (ST) was investigated as a primary ...
    • 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 ...
    • Detection of human stress using short-term ECG and HRV signals 

      Karthikeyan, Palanisamy; Murugappan, Muthusamy, Dr.; Sazali, Yaacob, Prof. Dr. (World Scientific Publishing Company, 2013-04)
      This paper introduces a method for resolving the problem of human stress detection through short-term (less than 5 min) electrocardiogram (ECG) and heart rate variability (HRV) signals. The explored methodology helps to ...
    • Development of cost effective ECG data acquisition system for clinical applications using LabVIEW 

      Murugappan, M., Dr.; Thirumani, Reena; Mohammad Iqbal, Omar@Ye Htut, Assoc. Prof. Dr.; Murugappan, Subbulakshmi (IEEE Conference Publications, 2014-03)
      The main objective of this work is to develop a portable and cost effective data acquisition (DAQ) system for clinical applications. This DAQ consists of several modules such as power supply, analog to digital converter ...
    • Development of Discrete Wavelet Transform (DWT) toolbox for signal processing applications 

      Mousa K., Wali; Murugappan, M., Dr.; R. Badlishah, Ahmad, Assoc. Prof. Dr.; Bong, Siao Zheng (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
      Discrete Wavelet Transform (DWT) plays a significant role in several image and signal processing applications. Most of the researchers are using different wavelet toolboxes for their application and research investigation. ...
    • Development of EEG data acquisition device by using single board computer 

      Wali, Mousa Kadhim; Murugappan, M., Dr.; R. Badlishah, Ahmad, Prof. Dr. (Inderscience Enterprises Ltd., 2013)
      Electroencephalogram (EEG) plays a vital role in several medical diagnosis (brain tumour detection, Alzheimer disease, epilepsy, etc.), engineering applications (emotion detection, drowsiness detection, stress assessment, ...
    • Development of EEG data acquisition device by using TS7800 Single Board Computer (SBC) 

      Mousa K. Wali; Murugappan, M., Dr.; R. Badlishah, Ahmad, Assoc. Prof. Dr. (Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27)
      Electroencephalogram (EEG) plays a vital role in several medical diagnosis (brain tumor detection, Alzheimer disease, epilepsy, etc), engineering applications (emotion detection, drowsiness detection, stress assessment, ...
    • 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 ...
    • DWT and MFCC based human emotional speech classification using LDA 

      Murugappan, Muthusamy, Dr.; Nurul Qasturi Idayu, Baharuddin; Jeritta, S (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
      Recent years, identification of gender based on emotional speech is one of the active research areas in developing intelligent human machine interactive (HMI) systems and biometric system. This work aims to identify the ...
    • Early predictionof cardiovascular diseases using ECG signal: A review 

      Nurul Hikmah, Kamaruddin; Murugappan, Muthusamy, Dr.; Mohd Iqbal, Omar, Assoc. Prof. Dr. (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      Electrocardiography is considered a representative signal of cardiac physiology. ECG signal analysis can provide lots of information about heart condition whether it is normal and abnormal. Cardiovascular Disease (CVD) is ...
    • ECG signals based mental stress assessment using wavelet transform 

      Karthikeyan, Palanisamy; Murugappan, M., Dr.; Sazali, Yaacob, Prof. Dr. (IEEE Conference Publications, 2011-11)
      This paper describes the mental stress assessment using Electrocardiography (ECG) signal. Stress reflects the changes in heart rates under stressful situation. In this work, Heart Rate Variability (HRV) from ECG signal is ...