Browsing Sazali Yaacob, Prof. Dr. by Title
Now showing items 81-100 of 250
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Emotion recognition from facial EMG signals using higher order statistics and principal component analysis
(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 ... -
Engine diagnosis system for automative industry
(Universiti Malaysia PerlisSchool of Mechatronic Engineering, 2007)The condition monitoring based on sound and vibration detection has benefited the machinery industry. Endless efforts have been put into the research of fault diagnosis based on sound. It offers concrete economic benefits, ... -
Entropy based feature extraction for motorbike engine faults diagnosing using neural network and wavelet transform
(Institute of Electrical and Elctronics Engineering (IEEE), 2009-03-06)The sound of working vehicle provides an important clue for engine faults diagnosis. Endless efforts have been put into the research of fault diagnosis based on sound. It offers concrete economic benefits, which can lead ... -
Estimating Face Emotion using Genetic Algorithm
(Kolej Universiti Kejuruteraan Utara Malaysia, 2006-09-15)Recognition of emotion through face features (Face Emotion) is a recent concept undertaken by several researchers. Face features have to be extracted from face images before applying the emotion recognition techniques. ... -
Face emotion recognition
(Universiti Malaysia Perlis (UniMAP)Pejabat Timbalan Naib Canselor (Penyelidikan dan Inovasi), 2007-01) -
Face Emotion Recognition - A survey
(Oita University, 2006-01-23)The facial emotion is playing a vital role in visual communication system. The vision system is being integrated to the robot to recognize the facial gestures or emotion. The integration of the vision system and EMG sensors ... -
Face recognition using eigenfaces and neural networks
(Science Publications, 2006)In this study, we develop a computational model to identify the face of an unknown person’s by applying eigenfaces. The eigenfaces has been applied to extract the basic face of the human face images. The eigenfaces is ... -
Face recognition using eigenfaces and neural networks
(Science Publications, 2006)In this study, we develop a computational model to identify the face of an unknown person’s by applying eigenfaces. The eigenfaces has been applied to extract the basic face of the human face images. The eigenfaces is ... -
FCM clustering of emotional stress using ECG features
(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
(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 extraction based on mel-scaled wavelet packet transform for the diagnosis of voice disorders
(SpringerLink, 2008-06-25)Feature extraction from the vocal signal plays very important role in the area of automatic detection of voice disorders. Many feature extraction algorithms have been developed in the last three decades based on acoustic ... -
Feature space reduction in ethnically diverse Malaysian English accents classification
(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 ... -
Field testing of prototype DQPSK modem on the Skudai - Baling and Skudai - Chemor HF Radio link
(Kolej Universiti Kejuruteraan Utara Malaysia, 2005-05-18)The unpredictability in HF propagation results in multipath fading phenomena affect reliability in data communication. Random phase due to fading causes phase synchronization error at the receiver. This problem can be ... -
Frequency study of facial electromyography signals with respect to emotion recognition
(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 ... -
Functional link PSO neural network based classification of EEG mental task signals
(Institute of Electrical and Electronics Engineering (IEEE), 2008-08-26)Classification of EEG mental task signals is a technique in the design of Brain machine interface [BMI]. A BMI can provide a digital channel for communication in the absence of the biological channels and are used to ... -
Fuzzy based classification of EEG mental tasks for a brain machine interface
(Institute of Electrical and Electronics Engineers (IEEE), 2007-11-28)Patients with neurodegenerative diseases loose all motor movements including impairment of speech, leaving the patients totally locked-in. One possible option for rehabilitation of such patients is using a brain machine ... -
Fuzzy clustering for genetic algorithm based optimized ellipse data in classifying face emotion
(Institute of Electrical and Electronics Engineering (IEEE), 2007-10)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
(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 ... -
Fuzzy linear programming: A modern tool for decision making
(Penerbit UTM Press, 2002-12)The modern trend in industrial application problem deserves modeling of all relevant vague or fuzzy information involved in a real decision making problem. In the first part of the paper, some explanations on tri partite ... -
Fuzzy matching scheme for stereo vision based electronic travel aid
(Institute of Electrical and Electronics Engineering (IEEE), 2005)Navigation is a significant barrier to individuals with visual impairments. In response to this barrier, a wearable stereo-vision system was investigated and a prototype system named Stereo Vision based Electronic Travel ...