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EEG Affective Modelling for Dysphoria Understanding
Norhaslinda Kamaruddin;Mohd HafizMohd Nasir;Abdul Wahab Abdul Rahman
2018 12th International Symposium on Medical Information and Communication Technology (ISMICT)
Year: 2018 | Conference Paper |
Cited by: Papers (1)
Dysphoria is a state of dissatisfaction, restlessness or fidgeting. It is a state of feeling unwell in relation to mental and emotional discomfort. If this state is not carefully handled, it may lead to depression, anxiety, and stress. To date, 21-item instruments of Depression, Anxiety and Stress Scale (DASS) is employed to measure dysphoria. Although DASS provides a quantitative assessment of th...Show More
Neurophysiological Analysis of Porn Addiction to Learning Disabilities
Nurul Izzati Mat Razi;Abdul Wahab Abdul Rahman;Norhaslinda Kamaruddin
2018 International Conference on Information and Communication Technology for the Muslim World (ICT4M)
Year: 2018 | Conference Paper |
Cited by: Papers (1)
Learning disability results from a reduced intellectual ability that can be observed from the lack of listening, speaking, reading, writing, reasoning, or mathematical proficiencies. Such condition may expose the children from the unfiltered porn contents freely available from the Internet as they are unaware or have minimal understanding of the negative effects of the pornographic contents. The e...Show More
Analysis of Indonesian sentiment text based on affective space model (ASM) using electroencephalogram (EEG) signals
Khodijah Hulliyah;Abdul Wahab;Norhaslinda Kamaruddin;Sevki Erdogan;Yusuf Durachman
2016 International Conference on Informatics and Computing (ICIC)
Year: 2016 | Conference Paper |
Cited by: Papers (4)
The affective space model (ASM) based on the valence and arousal (VA) has been used by many researchers in determining the emotional state of an individual. Psychologist uses the self assessment maniquin (SAM) while other researchers uses the facial patterns, voice emotions and also electroencephalogram (EEG) signals to obtain the category of Sentiment analysis (SA) based on VA as the two dimensio...Show More
Driver behavior state recognition based on silence removal speech
Norhaslinda Kamaruddin;Abdul Wahab Abdul Rahman;Khairul Ikhwan Mohamad Halim;Muhammad Hafiq Iqmal Mohd Noh
2016 International Conference on Informatics and Computing (ICIC)
Year: 2016 | Conference Paper |
Cited by: Papers (3)
Numerous researches have linked driver behavior to the cause of accident and some studies are concentrated into different input providing practical preventive measures. Nonetheless speech has been found to be a suitable input source in understanding and analyzing driver's behavior state due to the underlying emotional information when the driver speaks and such changes can be measured. However, th...Show More
Measuring Customer Satisfaction through Speech Using Valence-Arousal Approach
Norhaslinda Kamaruddin;Abdul Wahab Abdul Rahman;Aina Najwa Razman Shah
2016 6th International Conference on Information and Communication Technology for The Muslim World (ICT4M)
Year: 2016 | Conference Paper |
Cited by: Papers (4)
There had been many empirical researched demonstrating the important link between customer satisfaction and sales performance, as such many Customer Satisfaction index (CSI) were developed. Almost all CSI to date uses the survey or questionnaire method, which has its flaws. In order to quantify the CSI, we propose the use of speech analysis based on the affective space model where the valence and ...Show More
CMAC-based Computational Model of Affects (CCMA) for profiling emotion from EEG signals
Hamwira Yaacob;Wahab Abdul;Imad Fakhribo Al Shaikhli;Norhaslinda Kamaruddin
The 5th International Conference on Information and Communication Technology for The Muslim World (ICT4M)
Year: 2014 | Conference Paper |
Several studies have been performed to profile emotions using EEG signals through affective computing approach. It includes data acquisition, signal pre-processing, feature extraction and classification. Different combinations of feature extraction and classification techniques have been proposed. However, the results are subjective. Very few studies include subject-independent classification. In ...Show More
Speech emotion identification analysis based on different spectral feature extraction methods
Norhaslinda Kamaruddin;Abdul Wahab Abdul Rahman;Nor Sakinah Abdullah
The 5th International Conference on Information and Communication Technology for The Muslim World (ICT4M)
Year: 2014 | Conference Paper |
Cited by: Papers (2)
Human speech communication will convey semantic information of the uttered word as well as the underlying emotion information of the interlocutor. Emotion identification is important, as it could enhance many applications added-features that can improve human computer interaction aspect. Such improvement surely can help to retain customer satisfaction and loyalty in the long run and serves as an a...Show More
Measuring Customer Perceptions Index Using CMAC Speech Emotion Mapping
2013 International Conference on Advanced Computer Science Applications and Technologies
Year: 2013 | Conference Paper |
Customer perception is very important in ensuring the positive feedbacks and endurance of a product or service in the market. Marketers conduct customer satisfaction survey to measure customer's need, expectation and experience through multiple instruments, such as verbal and written survey. In this paper, an exploratory approach of speech emotion mapping using cerebellum model articulation contro...Show More
Extracting Features Using Computational Cerebellar Model for Emotion Classification
2013 International Conference on Advanced Computer Science Applications and Technologies
Year: 2013 | Conference Paper |
Several feature extraction techniques have been employed to extract features from EEG signals for classifying emotions. Such techniques are not constructed based on the understanding of EEG and brain functions, neither inspired by the understanding of emotional dynamics. Hence, the features are difficult to be interpreted and yield low classification performance. In this study, a new feature extra...Show More
Early Identification of Dyslexic Preschoolers Based on Neurophysiological Signals
2013 International Conference on Advanced Computer Science Applications and Technologies
Year: 2013 | Conference Paper |
Cited by: Papers (2)
Dyslexia is a learning difficulty and in most cases cannot be identified until a child is already in the third grade or later. At this time a dyslexic child have only an one-in-seven chance of ever catching up with his or her peers in reading, writing, speaking or listening. Early identification can pave the way for early intervention and the dyslexic child can be helped at an early stage. Further...Show More
Valence-arousal approach for speech emotion recognition system
2013 International Conference on Electronics, Computer and Computation (ICECCO)
Year: 2013 | Conference Paper |
Cited by: Papers (4)
The current state-of-the-art speech emotion recognition approaches focus on discrete emotion classification to suit the users' need. However, in more practical perspective, emotion is deemed complex to be individually segregated and it is a continuous process that will change dynamically over time. Subsequently, no researcher can really claim of being able to find the threshold discriminating one ...Show More
Brain topographic mapping of emotions using computational cerebellum
2013 International Conference on Electronics, Computer and Computation (ICECCO)
Year: 2013 | Conference Paper |
The advancement of neuroimaging technologies actuated many researches to further understand the neurophysiology of the cognitive events, including emotional elicitations. Several neuroimaging techniques including Electroencephalography (EEG) have been employed to capture and visualize the underlying dynamics of emotional neurophysiology. However, the existing EEG techniques are complex and require...Show More
Classification of EEG signals using MLP based on categorical and dimensional perceptions of emotions
2013 5th International Conference on Information and Communication Technology for the Muslim World (ICT4M)
Year: 2013 | Conference Paper |
Cited by: Papers (5)
Emotions are frequently studied based on two approaches; categorical and dimensional. In this study, Multi-Layer Perceptron (MLP) was employed to classify four affective states as posited from these approaches. It was observed that emotional states viewed from the dimensional perspective are well discriminated using memory test. In addition to that, the dynamic for each of the four emotions were a...Show More
Emulating human cognitive approach for speech emotion using MLP and GenSofNN
2013 5th International Conference on Information and Communication Technology for the Muslim World (ICT4M)
Year: 2013 | Conference Paper |
Cited by: Papers (3)
Speech emotion recognition field is growing due to the increasing needs for effective human-computer interaction. There are many approaches in term of features extraction methods coupled with classifiers to obtain optimum performance. However, none can claim superiority as it is very data-dependant and domain-oriented. In this paper, the appropriate sets of features are investigated using segregat...Show More
Classification of dyslexic and normal children during resting condition using KDE and MLP
2013 5th International Conference on Information and Communication Technology for the Muslim World (ICT4M)
Year: 2013 | Conference Paper |
Cited by: Papers (20)
Dyslexia is a specific reading disability. It can be characterized by a severe difficulty in reading, learning, spelling, memorizing as well as sequencing activities. In this work, the participants' electroencephalogram (EEG) signals were monitored during resting situation. These signals are captured from the scalp of each subject to measure the brain activities during both eyes opened and eye clo...Show More
Human behavior state profile mapping based on recalibrated speech affective space model
2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Year: 2012 | Conference Paper |
Cited by: Papers (9)
People typically associate health with only physical health. However, health is also interconnected to mental and emotional health. People who are emotionally healthy are in control of their behaviors and experience better quality of life. Hence, understanding human behavior is very important in ensuring the complete understanding of one's holistic health. In this paper, we attempt to map human be...Show More
Two dimensional affective state distribution of the brain under emotion stimuli
Hamwira Yaacob;Izzah Karim;Abdul Wahab;Norhaslinda Kamaruddin
2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Year: 2012 | Conference Paper |
Cited by: Papers (3)
Emotions are ambiguous. Many techniques have been employed to perform emotion prediction and to understand emotional elicitations. Brain signals measured using electroencephalogram (EEG) are also used in studies about emotions. Using KDE as feature extraction technique and MLP for performing supervised learning on the brain signals. It has shown that all channels in EEG can capture emotional exper...Show More
EEG analysis for understanding stress based on affective model basis function
Kazi Shahzabeen Rahnuma;Abdul Wahab;Norhaslinda Kamaruddin;Hariyati Majid
2011 IEEE 15th International Symposium on Consumer Electronics (ISCE)
Year: 2011 | Conference Paper |
Cited by: Papers (20)
Coping with stress has shown to be able to avoid many complications in medical condition. In this paper we present an alternative method in analyzing and understanding stress using the four basic emotions of happy, calm, sad and fear as our basis function. Electroencephalogram (EEG) signals were captured from the scalp of the brain and measured in responds to various stimuli from the four basic em...Show More
Post accident analysis of driver affection
Norzaliza M. Nor;Abdul Wahab;Norhaslinda Kamaruddin;Hariyati Majid
2011 IEEE 15th International Symposium on Consumer Electronics (ISCE)
Year: 2011 | Conference Paper |
Cited by: Papers (3)
In this research paper, we proposed to understand and analyzed the driver behavior through affective space model which allows the emotion to be represented in valance(V) and arousal(A). Through this analysis, we can determine correlation between driver behavior and basics emotion which will gain such agreement by psychologists in this area. Besides, through the VA, it will let us to see the driver...Show More
Driver behavior is indeed one of the major factors contributing to high number of motor vehicle accidents. Due to the fact that human behavior is always influenced by emotion and emotion can be detected through speech, we attempt to find correlation between driver behavior state and speech emotion to analyze driver behavior. This understanding is important to facilitate the development of driver e...Show More
Understanding driver behavior using multi-dimensional CMAC
2007 6th International Conference on Information, Communications & Signal Processing
Year: 2007 | Conference Paper |
Cited by: Papers (13)
In this paper, detailed studies have been conducted to model individual driving behavior in order to identify features that may be efficiently and effectively used to profile each driver. The brake and gas pedal pressure are used to identify uniqueness in driving maneuver of each driver. These differences in the driving habits could be due to the way our subconscious mind works and respond. In add...Show More
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