5 research outputs found

    Development of inexpensive motion analysis system - preliminary findings

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    A Real-Time, Inexpensive Gait Analysis System that cost less than RM3,000 (˜USD982) is proposed in this paper. The proposed system consists of subsystems such as wireless wearable accelerometer system, Custom-made force platform, data acquisition system with real-time computer data logging capability. Kinematics and kinetics parameters of human locomotion were collected and analysed by the system. The results collected were compared against published normative human gait data. Data collection was performed on 20 healthy test subjects without any reported gait-deficiency

    Comparison of few wavelets to filter ocular artifacts in EEG using lifting wavelet transform

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    We proposed a technique to remove ocular artifact (OA) from electroencephalogram (EEG) using Lifting Wavelet Transform (LWT). The objectives of OA filtering are threefold 1) to reduce the OA magnitude, 2) to retain the neural EEG potentials and 3) to make corrections at the right time localization. Three basic steps involved are to transform the EEG, hard thresholding the wavelet coefficients and the corrected EEG is obtained by inverse transform these threshold coefficients.It is of paramount important to select a suitable wavelet and threshold to accomplish this task. In this investigation, few wavelets were used and their effectiveness performances were compared visually. A level-dependent threshold used was suitable for both blinking and eyeball movements' corrections. From this study, we concluded that Haar and rbio3.1 outperformed db4 and cdf4.4 wavelets, and had achieved the objectives of OA removal

    The Learning Process in Cultural of Fourth Industrial Revolution 4.0 (4IR)*

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    This study is focus to emergence of a new technology known as ‘The Fourth Industrial Revolution' or the Industrial Revolution 4.0 has led to the current development of technology that predicts 50 billion electronic devices will interact with each other. Meeting the challenges of the Industrial Revolution 4.0, all students at the Institute of Higher Education (IPT) need to be prepared with this new era. Accordingly, a study was conducted on 30 students of the Faculty of Information Science and Technology (FTSM) Universiti Kebangsaan Malaysia (UKM) in Bangi, Selangor. This study aims to identify the level of knowledge, willingness and skills among students to pursue the Challenge of Industrial Revolution 4.0. This research is a descriptive study which use Likert scale. The data was analyzed using SPSS software. The findings show that the students' knowledge level towards the Industrial Revolution 4.0 is at a moderate level. Meanwhile, the study also found that student readiness was at moderate level. The findings also found that the skills level towards the Industrial Revolution 4.0 is at a moderate level. Researchers suggest that students should focus on maintaining the identity, sustainability of the mind, culture and the identity of students in the face of the new National Development and Transformation Plan 2050. Students need to get out of the habit and master the 4C elements of Critical Thinking & Problem Solving, Communication, Collaboration and Creativity
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