Browsing Conference Papers by Author "murugappan@unimap.edu.my"

Now showing items 1-9 of 9

    • 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 ...

    • 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, ...

    • 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 ...

    • Human emotion classification using wavelet transform and KNN 

      Murugappan, Muthusamy, Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2011-06-28)
      Emotion is one of the most important features of humans. Without the ability of emotions processing, computers and robots cannot communicate with human in natural way. In this paper we presented the classification of human ...

    • Human emotion recognition through short time Electroencephalogram (EEG) signals using Fast Fourier Transform (FFT) 

      Murugappan, Muthusamy, Dr.; Murugappan, Subbulakshmi (Institute of Electrical and Electronics Engineers (IEEE), 2013-03)
      Human emotion recognition plays a vital role in psychology, psycho-physiology and human machine interface (HMI) design. Electroencephalogram (EEG) reflects the internal emotional state changes of the subject compared to ...

    • 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 ...

    • Mathematical modeling of human body for lifting task 

      Ku Nor Syamimi, Ku Ismail; Shafriza Nisha, Basah, Dr.; Nur Hidayah, Omar; Sazali, Yaacob, Prof. Dr.; Murugappan, Muthusamy, Dr. (IEEE Conference Publications, 2012)
      Physical lifting tasks commonly involve to types of body postures, namely, squat lifting and stoop lifting. Studies shows improper body posture during lifting task has detrimental effect to human lower-back region over ...

    • 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 ...