Browsing Conference Papers by Author "Murugappan, Muthusamy, Dr."

Now showing items 1-7 of 7

    • 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 ...

    • 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 postures modeling using motion analysis: A review 

      Sazali, Yaacob, Prof. Dr.; Ku Nor Syamimi, Ku Ismail; Murugappan, Muthusamy, Dr.; Shafriza Nisha, Basah, Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
      Human motion analysis via computer vision is an important aspect in a wide range of application; ranging from human-computer interaction (HCI) to ergonomics and biomechanics. This paper presents an overview of all processes ...

    • 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 ...