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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 : TELKOMNIKA (Telecommunication Computing Electronics and Control)

 1 
The Fusion of HRV and EMG Signals for Automatic Gender Recognition during Stepping Exercise Nor Aziyatul Izni Mohd Rosli; Mohd Azizi Abdul Rahman; Malarvili Balakrishnan; Saiful Amri Mazlan; Hairi Zamzuri
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 2: June 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i2.6113

Abstract

In this paper, a new gender recognition approach in accordance with the fusion of features extracted from electromyogram (EMG) and heart rate variability (HRV) during stepping activity using a stair stepper device is proposed. The fusion of EMG and HRV is investigated based on feature fusion approach. The feature fusion is carried out by chaining the feature vector extracted from the EMG and HRV signals. A proposed approach comprises of a sequence of processing steps which are preprocessing, feature extraction, feature selection and the feature fusion. The results demonstrated that the fusion approach had enhanced the performance of gender recognition compared to solely on EMG or HRV for the gender recognition.
Potential Field Based Motion Planning with Steering Control and DYC for ADAS Nurbaiti Wahid; Hairi Zamzuri; Nurhaffizah Hassan; Mohd Azizi Abdul Rahman
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 2: June 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i2.6132

Abstract

In this study, the development of motion planning and control for collision avoidance driver assistance systems is presented. A potential field approach has been used in formulating the collision avoidance algorithm based on predicted vehicle motion. Then, to realize the advanced driver assistance systems (ADAS) for collision avoidance, steering control system and direct yaw moment control (DYC) is designed to follow the desired vehicle motion. Performance evaluation is conducted in simulation environment in term of its performance in avoiding the obstacles. Simulation results show that the vehicle collision avoidance assistance systems can successfully complete the avoidance behavior without colliding.
Driver`s Steering Behaviour Identification and Modelling in Near Rear-End collision Nurhaffizah Hassan; Hairi Zamzuri; Nurbaiti Wahid; Khairul Akmal Zulkepli; Muhammad Zulfaqar Azmi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 2: June 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i2.6133

Abstract

This paper studies and identifies driver`s steering manoeuvre behaviour in near rear-end collision. Time-To-Collision (TTC) is utilized in defining driver’s emergency threat assessment. The target scenario is set up under real experimental environment and the naturalistic data from the experiment are collected. Four normal drivers are employed for the experiment to perform the manoeuvre. Artificial Neural Network (ANN) is proposed to model the behaviour of the driver`s steering manoeuvre. The results show that all drivers manage to perform steering manoeuvre within the safe TTC region and the modelling results from ANN are reasonably positive. With further studies and improvements, this model would benefit to evaluate the driving reliability to enhance traffic safety and Intelligent Transportation System.
Path Tracking on Autonomous Vehicle for Severe Maneuvre Zulkarnain Zulkarnain; Hairi Zamzuri; M. H. M. Ariff; Umar Zakir Abdul Hamid
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 4: August 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i4.9068

Abstract

Autonomous vehicle consists self-learning process consists recognizing environment, real time localization, path planning and motion tracking control. Path tracking is an important aspect on autonomous vehicle. The main purpose path tracking is the autonomous vehicle have an ability to follow the predefined path with zero steady state error. The non-linearity of the vehicle dynamic cause some difficulties in path tracking problems. This paper proposes a path tracking control for autonomous vehicle. The controller consists of a relationship between lateral error, longitudinal velocity, the heading error and the reference yaw rate. In addition, the yaw rate controller developed based on the vehicle and tyre model. The effectiveness of the proposed controller is demonstrated by a simulation.
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