Browsing Abdul Hamid Adom, Prof. Dr. by Title

Now showing items 13-32 of 98

    • BMI using spectral energy entropy for colour visual tasks 

      Divakar, Purushothaman; Paulraj, Murugesa Pandiyan, Prof. Madya Dr.; Abdul Hamid, Adom, Dr.; Hema, Chengalvarayan Radhakrishnamurthy (Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)
      EEG signals are the electrophysiological measures of brain function and it is used to develop a Brain machine Interface. A Brain machine Interface (BMI) system is used to provide a communication and control technology ...

    • Brain machine interface based wheelchair control with minimal subject training 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Sazali, Yaacob; Abdul Hamid, Adom; Ramachandran, Nagarajan (Universiti Malaysia Perlis, 2009-10-11)
      Wheelchair control using a Brain Machine Interface based on motor imagery requires adequate subject training. In this paper we propose a new algorithm for a brain machine interface design which is implemented in real-time ...

    • Brain machine interface for physically retarded people using colour visual tasks 

      Pandiyan, Paulraj Murugesa, Prof. Dr.; Abdul Hamid, Adom, Prof. Dr.; Hema, Chengalvarayan Radhakrishnamurthy; Purushothaman, D. (IEEE Conference Publications, 2010-05)
      A Brain Machine Interface is a communication system which connects the human brain activity to an external device bypassing the peripheral nervous system and muscular system. It provides a communication channel for the ...

    • Brain machine interface: A comparison between fuzzy and neural classifiers 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Ramachandran, Nagarajan; Sazali, Yaacob; Abdul Hamid, Adom (ICIC International, 2009)
      Patients with neurodegenerative disease loose all motor movements including impairment of speech, leaving the patients totally locked-in. One possible option for rehabilitation of such patients is through a brain machine ...

    • Brain machine interface: Analysis of segmented EEG signal classification using short-time PCA and recurrent neural networks 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesa Pandiyan, Assoc. Prof.; Nagarajan, Ramachandran, Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Abdul Hamid, Adom, Prof. Madya (University of Basrah, 2008)
      Brain machine interface provides a communication channel between the human brain and an external device. Brain interfaces are studied to provide rehabilitation to patients with neurodegenerative diseases; such patients ...

    • Brain machine interface: classification of mental tasks using short-time PCA and recurrent neural networks 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Sazali, Yaacob; Abd Hamid, Adom; Ramachandran, Nagarajan (Institute of Electrical and Electronics Engineering (IEEE), 2007-11-25)
      Brain machine interface provides a communication channel between the human brain and an external device. Brain interfaces are studied to provide rehabilitation to patients with neurodegenerative diseases; such patients ...

    • Brain machine interface: motor imagery recognition with different signal length representations 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Sazali, Yaacob; Abdul Hamid, Adom; Ramachandran, Nagarajan (Institute of Electrical and Electronics Engineering (IEEE), 2009-03-06)
      This work investigates how signal representations affect the performance of a motor imagery recognition system, specifically we investigate on recognition accuracy and computational time of a brain machine interface designed ...

    • 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 ...

    • Classification of agarwood oil using an electronic nose 

      Wahyu, Hidayat; Ali Yeon, Md Shakaff, Prof. Dr.; Mohd Noor, Ahmad, Assoc. Prof. Dr.; Abdul Hamid, Adom, Assoc. Prof. Dr. (MDPI Publishing, 2010-05-06)
      Presently, the quality assurance of agarwood oil is performed by sensory panels which has significant drawbacks in terms of objectivity and repeatability. In this paper, it is shown how an electronic nose (e-nose) may be ...

    • 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)School of Mechatronic Engineering, 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 ...

    • Comparison of LPCC and MFCC for isolated Malay speech recognition 

      Chong x, Chong Yen Fook; Muthusamy, Hariharan, Dr.; Sazali, Yaacob, Prof. Dr.; Abdul Hamid, Adom, Prof. Dr. (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      Automatic speech recognition (ASR) is an area of research which deals with the recognition of speech by machine in several conditions. ASR performs well under restricted conditions (quiet environment), but performance ...

    • Comparison of Matlab’s multivariate analysis for qualitative and quantitative electronic taste sensing system 

      Abdul Hallis, Abdul Aziz; Ammar, Zakaria; Ali Yeon, Md Shakaff, Prof. Dr.; Abdul Rahman, Saad; Abdul Hamid, Adom, Prof. Madya Dr.; Maz Jamilah, Masnan (Universiti Malaysia Perlis (UniMAP)Institut Matematik Kejuruteraan, 2010-06-02)
      A taste sensing system has been put in place by a team of Unimap’s researchers using an array of sensors and ‘off the shelf’ components. Qualitative and quantitative ‘tasting’ data (multi-dimensions) were subjected ...

    • Comparison of speech parameterization techniques for the classification of speech disfluencies 

      Chong, Yen Fook; Hariharan, Muthusamy, Dr.; Lim, Sin Chee; Sazali, Yaacob, Prof. Dr.; Abdul Hamid, Adom, Prof. Dr. (Scientific and Technical Research Council of Turkey, 2013-12)
      Stuttering assessment through the manual classification of speech disfluencies is subjective, inconsistent, time-consuming, and prone to error. The aim of this paper is to compare the effectiveness of the 3 speech feature ...

    • Design and Fabrication of Biodegradable Microneedle Using 3D Rapid Prototyping Printer 

      Nur Hazwani Azyan, Mansor; Marni Azira, Markom; Erdy Sulino, Mohd Muslim Tan; Abdul Hamid, Adom (IOP Publishing, 2019)
      Microneedle is known as transdermal drug delivery (TDD) devices that uses to deliver biological fluid into veins and needle that use to tear skin to collect blood sample. It involves with various parameters and designs. ...

    • A design of Omni-Directional for Mobile Robot 

      Jefri Efendi, Mohd Salih; Mohamedd Rizon, Mohamed Juhari; Sazali, Yaacob; Abdul Hamid, Adom (Kolej Universiti Kejuruteraan Utara Malaysia, 2006-06-15)
      This paper presents the processes undertaken in the design and development of an intelligent omni-directional mobile robot using four custom-made mecanum wheels. The mecanum wheel developed consists of nine rollers made ...

    • Determination of honey floral origin using data fusion of electronic taste and smell sensing system 

      Abdul Hallis, Abdul Aziz; Ammar, Zakaria; Ali Yeon, Md Shakaff, Prof.; Abdul Hamid, Adom, Prof. Madya Dr.; Maz Jamilah, Masnan (Universiti Malaysia Perlis (UniMAP)Institut Matematik Kejuruteraan, 2010-06-02)
      Determination of honey classification based on floral origin requires expensive instrument and/or labor intensive expert personnel. In this study, electronic taste sensing and smell sensing systems were used to determine ...

    • Deterministic and stochastic models of automotive engine fuelled with palm biodiesel 

      Azuwir, Mohd Noor; Mohd Zaki, Abdulmuin, Prof. Dr.; Abdul Hamid, Adom, Prof. Madya Dr. (Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)
      In this paper, two types of dynamic model for automotive diesel engine fuelled with palm biodiesel (Palm Oil Methyl Ester) are being developed using a black box technique. Assuming a discrete time form for the system ...

    • Development of Autonomous and Semi Autonomous Mobile Robot Platform for Multiple Sensing Applications 

      Abdul Hamid, Adom, PM Dr.; Sazali, Yaacob, Prof. Dr. (School of Mechatronic Engineering, 2008-01-09)
      For access control, surveillance and gas or early fire detection.

    • Development of human sensory mimicking system 

      Nazifah, Ahmad Fikri; Ali Yeon, Md Shakaff, Prof. Dr.; Abdul Hamid, Adom, Prof. Madya Dr.; Mohd Noor, Ahmad, Prof. Dr.; Abu Hassan, Abdullah; Ammar, Zakaria; M. A., Markom (American Scientific Publishers, 2011-02)
      Taste (gustatory) and smell (olfactory) are two of the five human senses apart from touch (somatosensory), vision and hearing (auditory). In human and many other vertebrate animals the sense of taste are often used with ...

    • Development of intelligent portable electronic nose 

      Abu Hassan, Abdullah; Abdul Hamid, Adom; Ali Yeon, Md Shakaff; Mohd Noor, Ahmad; A., Zakaria; Marni Azira, Markom; E.S., Tan; N.A., Fikri; Rakhmad Arief, Siregar; Mahamad Akmal, Saad (Universiti Malaysia Perlis, 2009-10-11)
      An electronic nose is a device that is able to perform electronic olfactory as a substitute to human experts. It is able to overcome the disadvantages of using human, such as fatigue and inconsistencies, as well as to ...