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All Journal International Journal of Electrical and Computer Engineering TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Computer Science
Hairi Zamzuri
Universiti Teknologi Malaysia
Computer Science & IT Electrical & Electronics Engineering Engineering

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Journal : Indonesian Journal of Electrical Engineering and Computer Science

 1 
Radial basis function neural network for head roll prediction modelling in a motion sickness study Sarah ‘Atifah Saruchi; Mohd Hatta Mohammed Ariff; Mohd Ibrahim Shapiai; Nurhaffizah Hassan; Nurbaiti Wahid; Noor Jannah Zakaria; Mohd Azizi Abdul Rahman; Hairi Zamzuri
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i3.pp1637-1644

Abstract

Motion Sickness (MS) is the result of uneasy feelings that occurs when travelling. In MS mitigation studies, it is necessary to investigate and measure the occupant’s Motion Sickness Incidence (MSI) for analysis purposes. One way to mathematically calculate the MSI is by using a 6-DOF Subjective Vertical Conflict (SVC) model. This model utilises the information of the vehicle lateral acceleration and the occupant’s head roll angle to determine the MSI. The data of the lateral acceleration can be obtained by using a sensor. However, it is impractical to use a sensor to acquire the occupant’s head roll response. Therefore, this study presents the occupant’s head roll prediction model by using the Radial Basis Function Neural Network (RBFNN) method to estimate the actual head roll responses. The prediction model is modelled based on the correlation between lateral acceleration and head roll angle during curve driving. Experiments have been conducted to collect real naturalistic data for modelling purposes. The results show that the predicted responses from the model are similar with the real responses from the experiment. In future, it is expected that the prediction model will be useful in measuring the occupant’s MSI level by providing the estimated head roll responses.
The Gender Effects of Heart Rate Variability Response during Short-Term Exercise using Stair Stepper from Statistical Analysis Nor Aziyatul Izni Mohd Rosli; Mohd Azizi Abdul Rahman; Malarvili Balakrishnan; Takashi Komeda; Saiful Amri Mazlan; Hairi Zamzuri
Indonesian Journal of Electrical Engineering and Computer Science Vol 2, No 2: May 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v2.i2.pp359-366

Abstract

This study is aimed to explore the Heart Rate Variability (HRV) response during short-term exercise by stair stepper and to compare the finding between young healthy male and female subjects. The responses were statistically analyzed by applying independent-samples t-test statistical method. The calculation of Coefficient of Variation (CoV (%)) and the slope of the linear regression is used to assess the steadiness of the HRV. Furthermore, the results also demonstrated that female subjects had greater significant p-value of RMSSD feature and significance p-value in a LF feature is greater in male. Thus, the ongoing results demonstrated that males have the sympathetic drive and females have predominant parasympathetic drive using short-term exercise by stepper. Thus, the experiment results indicate the suitability of developing rehabilitation devices in the field of Autonomic Nervous System (ANS), research, control system and rehabilitation enginering, which may help to isolate males and females.
Co-Authors Abdul Hadi Abd Rahman Alias Jedi Khairul Akmal Zulkepli Khairul Akram Zainol Ariffinv M. H. M. Ariff Malarvili Balakrishnan Mohd Azizi Abdul Rahman Mohd Hanif Che Hasan Mohd Hatta Mohammed Ariff Mohd Ibrahim Shapiai Mohd Marzuki Mustafa Muhammad Zulfaqar Azmi Noor Jannah Zakaria Nor Aziyatul Izni Mohd Rosli Nor Samsiah Sani Noraishikin Binti Zulkarnain Noraishikin Zulkarnain Nurbaiti Wahid Nurbaiti Wahid Nurbaiti Wahid Nurhaffizah Hassan Nurhaffizah Hassan Nurhaffizah Hassan Saiful Amri Mazlan Sarah 'Atifah Saruchi Sarah ‘Atifah Saruchi Sarah ’Atifah Saruchi Sheikh Muhammad Hafiz Fahami Siti Nor Zawani Ahmmad Siti Salasiah Mokri Takashi Komeda Umar Zakir Abdul Hamid Zulkarnain Ali Leman