Browsing Sazali Yaacob, Prof. Dr. by Author "Murugappan, Muthusamy, Dr."

Now showing items 1-8 of 8

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • Methods and approaches on inferring human emotional stress changes through physiological signals: A review 

      Bong, Siao Zheng; Murugappan, Muthusamy, Dr.; Sazali, Yaacob, Prof. Dr. (Inderscience Enterprises Ltd, 2013)
      Emotional stress is kind of stressful state which is developed due to the continuous occurrence of negative emotions such as sad, disgust, angry and fear over a long period of time. In this work, a detailed investigation ...

    • Multiple physiological signal-based human stress identification using non-linear classifiers 

      Karthikeyan, Palanisamy; Murugappan, Muthusamy, Dr.; Sazali, Yaacob, Prof. Dr. (2013)
      This paper describes the human stress identification using multiple physiological signals. The Electrocardiogram (ECG), Electromyogram (EMG), Heart Rate Variability (HRV), Galvanic Skin Response (GSR), and Skin Temperature ...