Browsing Researchers by Author "s.yaacob@unimap.edu.my"

Now showing items 21-40 of 77

    • 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 ...

    • EEG based detection of conductive and sensorineural hearing loss using artificial neural networks 

      Pandiyan, Paulraj Murugesa , Prof. Dr.; Subramaniam, Kamalraj; Sazali, Yaacob, Prof. Dr.; Abdul Hamid, Adom, Prof. Dr.; Hema, C. R. (Advanced Institute of Convergence IT, 2013-05)
      In this paper, a simple method has been proposed to distinguish the normal and abnormal hearing subjects (conductive or sensorineural hearing loss) using acoustically stimulated EEG signals. Auditory Evoked Potential (AEP) ...

    • EMG signal based human stress level classification using wavelet packet transform 

      Karthikeyan, Palanisamy; Murugappan, M., Dr.; Sazali, Yaacob, Prof. Dr. (Springer-Verlag, 2012)
      Recent days, Electromyogram (EMG) signal acquired from muscles can be useful to measure the human stress levels. The aim of this present work to investigate the relationship between the changes in human stress levels to ...

    • Emotion detection from QRS complex of ECG signals using hurst exponent for different age groups 

      Selvaraj, Jerritta; Murugappan, M., Dr.; Wan Khairunizam, Wan Ahmad, Dr.; Sazali, Yaacob, Prof. Dr. (IEEE Conference Publications, 2013-09)
      Emotion recognition using physiological signals is one of the key research areas in Human Computer Interaction (HCI). In this work, we identify the six basic emotional states (Happiness, sadness, fear, surprise, disgust ...

    • Emotion recognition from electrocardiogram signals using Hilbert Huang Transform 

      Selvaraj, Jerritta; Murugappan, M., Dr.; Wan Khairunizam, Wan Ahmad, Dr.; Sazali, Yaacob, Prof. Dr. (IEEE Conference Publications, 2012-10)
      Equipping robots and computers with emotional intelligence is becoming important in Human-Computer Interaction (HCI). Bio-signal based methods are found to be reliable and accurate than conventional methods as they directly ...

    • Emotion recognition from facial EMG signals using higher order statistics and principal component analysis 

      Selvaraj, Jerritta; Murugappan, Muthusamy, Dr.; Wan Khairunizam, Wan Ahmad, Dr.; Sazali, Yaacob, Prof. Dr. (Taylor & Francis, 2014-04)
      Higher order statistics (HOS) is an efficient feature extraction method used in diverse applications such as bio signal processing, seismic data processing, image processing, sonar, and radar. In this work, we have ...

    • Extraction of head and hand gesture features for recognition of sign language 

      Paulraj, M. P.; Sazali, Yaacob, Prof. Dr.; Hazry, Desa, Assoc. Prof. Dr.; Hema, Chengalvarayan Radhakrishnamurthy; Wan Mohd Ridzuan, Wan Ab Majid (IEEE Conference Publications, 2008)
      Sign language is the primary communication method that impaired hearing people used in their daily life. Sign language recognition has gained a lot of attention recently by researchers in computer vision. Sign language ...

    • FCM clustering of emotional stress using ECG features 

      Zheng, Bong Siao; Murugappan, M., Dr.; Sazali, Yaacob, Prof. Dr. (IEEE Conference Publications, 2013-04)
      Emotional stress refers to the inducement of stress due to the consequence of a continuous experience of negative emotions (sad, anger, fear and disgust). This work aims to investigate the effect of negative emotions in ...

    • Feature based classification for classroom speech intelligibility prediction 

      M. Ridhwan, Tamjis; Sazali, Yaacob, Prof. Dr.; Pandian, Paulraj Murugesa, Prof. Dr.; Ahmad Nazri, Abdullah; Boon, Raymond Whee Heng,Prof. Dr. (IEEE Conference Publications, 2011-09)
      Education is one of the most important aspects in human life. Nowadays, a quality education not only rely on the teaching itself, but also the environment. One of the important aspects in providing an educative environment ...

    • Feature space reduction in ethnically diverse Malaysian English accents classification 

      Yusnita, Mohd Ali; Pandiyan, Paulraj Murugesa , Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Shahriman, Abu Bakar, Dr. (IEEE Conference Publications, 2013)
      In this paper we propose a reduced dimensional space of statistical descriptors of mel-bands spectral energy (MBSE) vectors for accent classification of Malaysian English (MalE) speakers caused by diverse ethnics. Principle ...

    • Frequency study of facial electromyography signals with respect to emotion recognition 

      Selvaraj, Jerritta; Murugappan, Muthusamy, Dr.; Wan Khairunizam, Wan Ahmad, Dr.; Sazali, Yaacob, Prof. Dr. (Walter de Gruyter GmbH, 2014-01)
      Emotional intelligence is one of the key research areas in human-computer interaction. This paper reports the development of an emotion recognition system using facial electromyogram (EMG) signals focusing the ambiguity ...

    • Fuzzy clustering for genetic algorithm based optimized ellipse data in classifying face emotion 

      Karthigayan, Muthukaruppan; Mohamed, Rizon; Sazali, Yaacob, Prof. Dr.; Nagarajan, Ramachandran; Sugisaka, Masanori; Mohd Rozailan, Mamat, Prof. Madya Dr.; Hazry, Desa, Assoc. Prof. Dr. (IEEE Conference Publications, 2007)
      In this paper, lip and eye features are applied to classify the human emotion using a set of irregular and regular ellipse fitting equations using genetic algorithm (GA). A South East Asian face is considered in this study. ...

    • Fuzzy k-NN and k-NN algorithm for fast infant cues detection 

      Muhammad Naufal, Mansor; Sazali, Yaacob, Prof. Dr.; Hariharan, Muthusamy, Dr.; Shafriza Nisha, Basah, Dr.; Syahryull Hi-Fi Syam, Ahmad Jamil; Mohd Lutfi, Mohd Khidir; Muhammad Nazri, Rejab; Ku Mohd Yusri, Ku Ibrahim; Addzrull Hi-Fi Syam, Ahmad Jamil; Ahmad Kadri, Junoh; J., Ahmad (Springer Berlin Heidelberg, 2013)
      In this paper, tremble stage assessment is explained and reviewed for detecting facial changes of patient in a hospital in Neonatal Intensive Care Unit (NICU). The facial changes are most widely represented by eyes and ...

    • Gesture recognition system for Kod Tangan Bahasa Melayu (KTBM) using neural network 

      Paulraj, Murugesa Pandiyan, Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Hazry, Desa, Assoc. Prof. Dr.; Wan Mohd Ridzuan, Wan Ab Majid (IEEE Conference Publications, 2009)
      This paper presents simple methods for translating Kod Tangan Bahasa Melayu (KTBM) into voice signal based on subject head and two hand gestures. Different gesture signs made by different subjects are captured using a USB ...

    • Human emotional stress assessment through Heart Rate Detection in a customized protocol experiment 

      Zheng, Bong Siao; Murugappan, M., Dr.; Sazali, Yaacob, Prof. Dr. (IEEE Conference Publications, 2012-09)
      Continuous existence of negative emotions (disgust, anger, fear and sad) over a longer period of time induces emotional stress. This emotional stress can be analyzed through physiological signal characteristics such as ...

    • A hybrid expert system approach for telemonitoring of vocal fold pathology 

      Hariharan, Muthusamy, Dr.; Kemal, Polatb; Sindhu, Ravindran; Sazali, Yaacob, Prof. Dr. (Elsevier B.V., 2013)
      Acoustical parameters extracted from the recorded voice samples are actively pursued for accurate detection of vocal fold pathology. Most of the system for detection of vocal fold pathology uses high quality voice samples. ...

    • Impact response of thin-walled tubes: A prospective review 

      Fauziah, Mat; Khairul Azwan, Ismail, Dr.; Sazali, Yaacob, Prof. Dr.; Inayatullah, Othman (Trans Tech Publications, 2012-04)
      Thin-walled structures have been widely used in various structural applications asimpact energy absorbing devices. During an impact situation, thin-walled tubesdemonstrate excellent capability in absorbing greater energy ...

    • Implementing eigen features methods/neural network for EEG signal analysis 

      Saidatul Ardeenawatie, Awang; Pandiyan, Paulraj Murugesa, Prof. Dr.; Sazali, Yaacob, Prof. Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2013-01)
      This paper presented the possibility of implementing eigenvector methods to represent the features of electroencephalogram signal. In this study, three eigenvector methods were investigated namely Pisarenko, Multiple Signal ...

    • In vitro evaluation of finger's hemodynamics for vein graft surveillance using electrical bio-impedance method 

      Lee, Hoi Leong; Shahriman, Abu Bakar, Dr.; Sazali, Yaacob, Prof. Dr.; Zuradzman, Mohamad Razlan, Dr.; Wan Khairunizam, Wan Ahmad, Dr.; Zunaidi I.B; Cheng, Ee Meng, Dr.; Siti Khadijah, Za'aba, Dr.; Shafriza Nisha, Basah, Dr.; Mohd Afendi, Rojan, Dr.; Sharifah Roohi, Syed Waseem Ahmad (American-Eurasian Network for Scientific Information (AENSI), 2014-03)
      Electrical bio-impedance measurement has great potential in many biomedical applications including vein graft surveillance. Studies have shown that thrombosis was the major cause of the vein graft failure. The meticulous ...

    • Infant cry classification: time frequency analysis 

      Saraswathy, Jeyaraman; Hariharan, Muthusamy, Dr.; Wan Khairunizam, Wan Ahmad, Dr.; Sazali, Yaacob, Prof. Dr.; Thiyagar., N (IEEE Conference Publications, 2013-11)
      Acoustic analysis of infant cry has been the subject of a number of researchers since half decades ago. This paper addresses a simple time-frequency analysis based signal processing technique using short-time Fourier ...