Now showing items 1-20 of 67

    • Time-frequency analysis of EEG signals for human emotion detection 

      Murugappan, Muthusamy, Dr.; M.Rizon; R., Nagarajan; Sazali, Yaacob, Prof. Dr.; Hazry, Desa, Assoc. Prof. Dr.; Zunaidi, Ibrahim (Springer Berlin Heidelberg, 2008)
      This paper proposes an emotion recognition system from EEG (Electroencephalogram) signals. The main objective of this work is to compare the efficacy of classifying human emotions using two discrete wavelet transform (DWT) ...
    • 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 ...
    • Lifting scheme for human emotion recognition using EEG 

      Murugappan, M., Dr.; Mohd Rizon, Mohamed Juhari; Nagarajan, Ramachandran, Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Ibrahim, Zunaidi; Hazry, Desa, Assoc. Prof. Dr. (IEEE Conference Publications, 2008-08)
      In recent years, the need and importance of automatically recognizing emotions from EEG signals has grown with increasing role of brain computer interface applications. The detection of fine grained changes in functional ...
    • An investigation on visual and audiovisual stimulus based emotion recognition using EEG 

      Murugappan, M.; Mohd Rizon, Mohammed Juhari; Nagarajan, Ramachandran, Prof. Dr.; Sazali, Yaacob, Prof. (Inderscience Enterprises Ltd., 2009-01)
      In this paper, we investigate the possibility of using visual and audio visual stimulus for detecting the human emotion by measuring electroencephalogram (EEG). Visual and audiovisual stimulus based protocols is designed ...
    • 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, ...
    • 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 ...
    • Modified energy based time-frequency features for classifying human emotions using EEG 

      M., Murugappan; R., Nagarajan; Sazali, Yaacob (Universiti Malaysia Perlis, 2009-10-11)
      In this paper we summarize the emotion recognition from the electroencephalogram (EEG) signals. The combination of surface Laplacian filtering, time-frequency analysis (Wavelet Transform) and linear classifiers are used ...
    • 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 ...
    • A review on stress inducement stimuli for assessing human stress using physiological signals 

      P., Karthikeyan; Murugappan, M., Dr.; Sazali, Yaacob, Prof. Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2011-03-04)
      Assessing human stress in real-time is more difficult and challenging today. The present review deals about the measurement of stress in laboratory environment using different stress inducement stimuli by the help of ...
    • 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 ...
    • Electromyogram signal based human emotion classification using KNN and LDA 

      Murugappan, M., Dr. (IEEE Conference Publications, 2011-06)
      In this paper, we presents Electromyogram (EMG) signal based human emotion classification using K Nearest Neighbor (KNN) and Linear Discriminant Analysis (LDA). Five most dominating emotions such as: happy, disgust, fear, ...
    • Hypovigilance warning system: A review on driver alerting techniques 

      Arun, S.; Murugappan, M.; Sundaraj, Kenneth, Prof. Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2011-06-27)
      In recent years, driver hypovigilance (drowsiness and inattentiveness) is one of the major causes for road accidents and it leads to severe traumas such as physical injuries, deaths, and economic losses. Several researchers ...
    • 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 ...
    • 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 ...
    • Facial expression based computer cursor control system for assisting physically disabled person 

      Bukhari, Ilias; Vasanthan, M; Nagarajan, R; Murugappan, M; Letchumikanth, J (Institute of Electrical and Electronics Engineers (IEEE), 2012)
      Recent years, several researchers are developingc different kinds of assistive devices for physically disabled peoples. In this work, movement of illuminant markers through facial expressions is used to control the cursor ...
    • 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 ...
    • 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 ...
    • 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 ...