Browsing by Author "Paulraj, M. P."

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    • Extraction of head and hand gesture features for recognition of sign language 

      Paulraj, M. P.; Sazali, Yaacob, Prof. Dr.; Hazry, Desa, Assoc. Prof. Dr.; Hema, Chengalvarayan Radhakrishnamurthy; Wan Mohd Ridzuan, Wan Ab Majid (IEEE Conference Publications, 2008)
      Sign language is the primary communication method that impaired hearing people used in their daily life. Sign language recognition has gained a lot of attention recently by researchers in computer vision. Sign language ...

    • Motorbike engine faults diagnosing system using entropy and functional link neural network in wavelet domain 

      Paulraj, M. P.; Sazali, Yaacob; Mohd Zubir, Md Zin (Universiti Malaysia Perlis, 2009-10-11)
      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 ...

    • Neural network models for speech inteligibility assessment in university classroom 

      Paulraj, M. P.; Ahmad Nazri; Sivanandam, S.N.; Thagirarani, M. (Kongu Engineering College, 2008-01-03)
      Adequate speech intelligibility should be the primary goal in acoustical design of classrooms. Typical design parameters are reverberation time and background noise level. However for predicting the Speech Transmission ...

    • Vision based tracking control of an autonomous mobile robot in an indoor environment 

      Mohd Saifizi, Saidon; Hazry, Desa, Assoc. Prof. Dr.; Nagarajan, R.; Paulraj, M. P. (IEEE Conference Publications, 2011)
      In this paper, we present a scheme for target acquisition scheme for mobile robot that will use vision sensor. The scheme in order to accurately measures the location of a target in real world coordinates and finds the ...

    • Vowel recognition based on frequency ranges determined by bandwidth approach 

      Paulraj, M. P.; Sazali, Yaacob; Mohd Yusof, S. A. (Institute of Eelectrical and Electronics Engineering (IEEE), 2009-07)
      Automatic speech recognition (ASR) has made great strides with the development of digital signal processing hardware and software especially using English as the language of choice. In this paper, a new feature extraction ...