Browsing School of Microelectronic Engineering (Articles) by Author "Sazali, Yaacob, Prof. Dr."

Now showing items 1-6 of 6

    • A comparative study of wavelet families for classification of wrist motions 

      Muthusamy, Hariharan; Chong, Yen Fook; Sindhu, Ravindran; Bukhari, Ilias; Sazali, Yaacob, Prof. Dr. (Elsevier Ltd., 2012-11)
      The selection of most suitable mother wavelet function is still an open research problem in various signal and image processing applications. This paper presents a comparative study of different wavelet families (Daubechies, ...

    • Face recognition using eigenfaces and neural networks 

      Mohamed Rizon; Muhammad Firdaus, Hashim; Puteh, Saad; Sazali, Yaacob, Prof. Dr.; Mohd Rozailan, Mamat; Ali Yeon, Md Shakaff, Prof. Dr.; Abdul Rahman, Saad; Hazri, Desa, Dr.; Karthigayan, M. (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 ...

    • A hybrid expert system approach for telemonitoring of vocal fold pathology 

      Hariharan, Muthusamy, Dr.; Kemal, Polatb; Sindhu, Ravindran; Sazali, Yaacob, Prof. Dr. (Elsevier B.V., 2013)
      Acoustical parameters extracted from the recorded voice samples are actively pursued for accurate detection of vocal fold pathology. Most of the system for detection of vocal fold pathology uses high quality voice samples. ...

    • Infant cry classification to identify asphyxia using time-frequency analysis and radial basis neural networks 

      Muthusamy, Hariharan; Jeyaraman, Saraswathy; Sindhu, Ravindran; Wan Khairunizam, Wan Ahmad, Dr.; Sazali, Yaacob, Prof. Dr. (Elsevier Ltd, 2012-08)
      A cry is the first verbal communication of infants and it is described as a loud, high-pitched sound made by infants in response to certain situations. Infant cry signals can be used to identify physical or psychological ...

    • Normal and hypoacoustic infant cry signal classification using time-frequency analysis and general regression neural network 

      Hariharan, Muthusamy, Dr.; Sindhu, R; Sazali, Yaacob, Prof. Dr. (Elsevier Ireland Ltd., 2012-11)
      Crying is the most noticeable behavior of infancy. Infant cry signals can be used to identify physical or psychological status of an infant. Recently, acoustic analysis of infant cry signal has shown promising results and ...

    • Objective evaluation of speech dysfluencies using wavelet packet transform with sample entropy 

      Hariharan, Muthusamy, Dr.; Chong, Yen Fook; Sindhu, Ravindran; Abdul Hamid, Adom, Prof. Dr.; Sazali, Yaacob, Prof. Dr. (Elsevier Inc, 2013-05)
      Dysfluency and stuttering are a break or interruption of normal speech such as repetition, prolongation, interjection of syllables, sounds, words or phrases and involuntary silent pauses or blocks in communication. Stuttering ...