Browsing Hariharan Muthusamy, Dr. by Author "Vijean, Vikneswaran"

Now showing items 1-9 of 9

    • Applications of visually evoked potentials in ocular diseases: a guided tour 

      Vijean, Vikneswaran; Hariharan, Muthusamy, Dr.; Sazali, Yaacob, Prof. Dr. (IEEE Conference Publications, 2011-12)
      Visually evoked potential (VEP) is an electrical signal generated by the brain (Occipital Cortex) in response to a visual stimuli. These responses are recorded non-invasively by placing the surface electrodes at the scalp, ...

    • Auditory wavelet packet filters for multistyle classification of speech under stress 

      Nurul Aida Amira, Johari; Hariharan, Muthusamy, Dr.; Sazali, Yaacob, Prof. Dr.; Vijean, Vikneswaran (IEEE Conference Publications, 2011-11)
      Nowadays, people are having high stress level due to high workload stress, emergency phone call and multitasking. Emotional/stress of a person affect his/her performance in daily life and speech production. The research ...

    • Discrimination of vision impairments using single trial VEPs 

      Vijean, Vikneswaran; Hariharan, Muthusamy, Dr.; Sazali, Yaacob, Prof. Dr. (IEEE Conference Publications, 2011-11)
      Analysis of Visually evoked potential (VEP) in the investigation of ocular diseases is gaining interests from researchers all over the world. VEP is an electrical signal generated by the brain (Occipital Cortex) in response ...

    • Investigation of vision impairments using pattern reversal VEPs and extreme learning machine 

      Vijean, Vikneswaran; Hariharan, Muthusamy; Sazali, Yaacob, Prof. Dr. (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      Analysis of vision impairment using pattern reversal visually evoked potentials (VEP) is gaining interest from researchers. The VEPs are collected using non-invasive EEG electrodes from the scalp overlaying the occipital ...

    • Mental tasks classifications using S-transform for BCI applications 

      Vijean, Vikneswaran; Hariharan, Muthusamy, Dr.; Saidatul, A.; Sazali, Yaacob, Prof. Dr. (IEEE Conference Publications, 2011-10)
      The classification of different types of mental tasks is an active area of research that seems to be ever expanding. This field is gaining interest from researchers all over the world. This study is intended to utilize the ...

    • Performance comparison of daubechies wavelet family in Infant cry classification 

      Saraswathy, J; Hariharan, Muthusamy; Vijean, Vikneswaran; Sazali, Yaacob, Prof. Dr.; Wan Khairunizam, Wan Ahmad, Dr. (IEEE Conference Publications, 2012)
      Infant cry is a non-stationary, loud, high-pitched signal made by infants in response to certain situations. This acoustic signal can be used to identify physical or psychology status of infant. The aim of this work is to ...

    • Speech stuttering assessment using sample entropy and Least Square Support Vector Machine 

      Muthusamy, Hariharan, Dr.; Vijean, Vikneswaran; Chong, Yen Fook; Sazali, Yaacob, Prof. Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2012-03)
      This work is intended to discuss the performance of sample entropy feature for the recognition of stuttered events. The data for the analysis is taken from the UCLASS database. Manual segmentation is performed to identify ...

    • Stockwell transform and clustering techniques for efficient detection of vision impairments from single trial VEPs 

      Vijean, Vikneswaran; Hariharan, Muthusamy, Dr.; Sazali, Yaacob, Prof. Dr.; Mohd Nazri, Sulaiman (Inderscience Enterprises Ltd., 2013)
      Pattern reversal visually evoked potentials (VEPs) provide valuable information about the visual nerves pathways and is a promising field to be explored for the investigation of vision impairments. The conventional method ...

    • Wavelet based approach for the investigation of vision impairments using single trial VEPs 

      Vijean, Vikneswaran; Hariharan, Muthusamy, Dr.; Sazali, Yaacob, Prof. Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2012-03-23)
      Visually evoked potential (VEP) is being widely used for the investigation of vision abnormalities. The signals are recorded using non-invasive EEG electrodes from the Occipital Cortex while a subject is presented with a ...