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    Application-specific multichannel EEG data acquisition system for portable biomedical application 

    Paulraj, Murugesa Pandian, Dr.; Abdul Hamid, Adom, Prof. Dr.; Tung, Kai Xu; Subramaniam, Kamalraj (Malaysian Technical Universities Network (MTUN), 2012-11-20)
    This paper presents the design and construction of a low power application-specific EEG bio-potential multichannel amplifier with high common mode rejection ratio (CMRR) and high input impedance. The bio-potential amplifier ...
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    Multi-classifier system for moving vehicles classification based on spectral bands energy 

    Norasmadi, Abdul Rahim; Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr.; Adom, Abdul Hamid, Prof. Dr.; Sathishkumar, Sundararaj (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
    Profoundly hearing impaired community cannot moderate wisely an acoustic noise emanated from moving vehicle in outdoor. They are not able to distinguish either type or distance of moving vehicle approaching from behind. ...
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    Classification of acoustic sound signature of moving vehicle using artificial neural network 

    Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr.; Abdul Hamid, Adom, Prof., Dr.; Sathishkumar, Sundararaj (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
    The hearing impaired is afraid of walking along a street and living a life alone. Since, it is difficult for hearing impaired to hear and judge sound information and they often encounter risky situations while they are in ...
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    Synchronous brain machine interface design using focused time delay networks 

    Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Abdul Hamid, Adom, Assoc. Prof. Dr.; Ramachandran, Nagarajan, Prof. Dr. (Universiti Malaysia Perlis (UniMAP), 2012-02-27)
    Focused time delay neural network based design for a four-state Brain Machine Interface (BMI) to drive a wheelchair is analyzed. Motor imagery signals recorded noninvasively using two bipolar electrodes are used in the ...
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    Improving classification of EEG signals for a four-state brain machine interface 

    Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr.; Abdul Hamid, Adom, Prof. Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2012)
    Neural network classifiers are one among the popular modes in the design of classifiers for electroencephalograph based brain machine interfaces. This study presents algorithms to improve the classification performance of ...
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    Moving vehicle recognition and classification based on time domain approach 

    Paulraj, Murugesa Pandian, Dr.; Abdul Hamid, Adom, Prof., Dr.; Sundararaj, Sathishkumar; Norasmadi, Abdul Rahim (Malaysian Technical Universities Network (MTUN), 2012-11-20)
    Differentially Hearing Ability Enabled (DHAE) community cannot discriminate the sound information from a moving vehicle approaching from their behind. This research work is mainly focused on recognition of different vehicles ...
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    Structural steel plate damage detection using non destructive testing, frame energy based statistical features and artificial neural networks 

    Paulraj, Murugesa Pandiyan, Dr.; Sazali, Yaacob, Prof. Dr.; Mohd Shukry, Abdul Majid; Mohd Nor Fakhzan, Mohd Kazim; Pranesh, Krishnan (Malaysian Technical Universities Network (MTUN), 2012-11-20)
    This paper discusses about the detection of damages present in the steel plates using nondestructive vibration testing. A simple experimental model has been developed to hold the steel plate complying with the simply ...
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    Classification of EEG colour imagination tasks based BMI using energy and entropy features 

    Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr.; Abdul Hamid, Adom, Assoc. Prof. Dr.; Hema, Chengalvarayan Radhakrishnamurthy; Purushothaman, Divakar (Universiti Malaysia Perlis (UniMAP), 2012-02-27)
    Electroencephalogram (EEG) signals are the electrophysiological measures of brain function and it is used to develop a brain machine interface. Brain machine interface (BMI) system is used to provide a communication and ...
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    Classification of speaker accent using hybrid DWT-LPC features and K-nearest neighbors in ethnically diverse Malaysian English 

    Yusnita, Mohd Ali; Pandiyan, Paulraj Murugesa, Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Shahriman, Abu Bakar, Dr. (IEEE Conference Publications, 2012-12)
    Accent is a major cause of variability in automatic speaker-independent speech recognition systems. Under certain circumstances, this event introduces unsatisfactory performance of the systems. In order to circumvent this ...
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    Speaker accent recognition through statistical descriptors of Mel-bands spectral energy and neural network model 

    Yusnita, Mohd Ali; Pandiyan, Paulraj Murugesa, Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Shahriman, Abu Bakar, Dr.; Nataraj, Sathees Kumar (IEEE Conference Publications, 2012-10)
    Accent recognition is one of the most important topics in automatic speaker and speaker-independent speech recognition (SI-ASR) systems in recent years. The growth of voice-controlled technologies has becoming part of our ...
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    AuthorPaulraj, Murugesa Pandiyan, Assoc. Prof. Dr. (10)Sazali, Yaacob, Prof. Dr. (7)Abdul Hamid, Adom, Assoc. Prof. Dr. (3)Abdul Hamid, Adom, Prof. Dr. (3)Hema, Chengalvarayan Radhakrishnamurthy (3)... View MoreSubjectNeural network (5)Probabilistic neural network (PNN) (2)Accent classification (1)Accent recognition (1)Acoustic sound signature (1)... View MoreDate Issued
    2012 (16)

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