A.P. Ismail

A.P. Ismail
Universiti Teknologi MARA | UiTM · Faculty of Electrical Engineering

About

13
Publications
13,772
Reads
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44
Citations
Citations since 2016
5 Research Items
37 Citations
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20162017201820192020202120220246810
20162017201820192020202120220246810
20162017201820192020202120220246810

Publications

Publications (13)
Article
Full-text available
Hand gesture recognition is one of the system that can detect the gesture of hand in a real time video. The gesture of hand is classify within a certain area of interest. In this study, designing of the hand gesture recognition is one of the complicated job that involves two major problem. Firstly is the detection of hand. Another problem is to cre...
Conference Paper
This paper was conducted to detect and classify the different power quality disturbance (PQD) using Half and One-Cycle Windowing Technique (WT) based on Continuous S-Transform (CST) and Neural Network (NN). The system using 14 bus bars based on IEEE standard had been designing using MATLAB©/Simulink to provide PQD data. The datum of PQD is analyzed...
Article
Abnormal gait analysis can be used as one of the surveillance method, medical rehabilitation monitoring and early detection in possible gait related symptom. Existing manual observation can only be done by professional and might cause misidentification about the real condition or situation of the subject. Additionally, gait laboratory utilises cost...
Article
Full-text available
Gait abnormality recognition would be very useful in medical monitoring and surveillance system. In this research, analysis of front view human gait silhouette had been done to investigate the possibility of the method in recognizing abnormality on proposed model-based approach. The model based which utilised hexagonal theorem as feature extraction...
Conference Paper
This research investigated the possibility of side view human gait silhouette to be used for recognition of walking and running gait based on model-based approach. Markerless model with model based is used to produce the vertical angles of both hip and knee with respect to thigh for 32 image sequences as feature vectors for both legs for one comple...
Conference Paper
The study aimed to investigate the potential of frontal view gait of human for gender recognition based on model based approach. Firstly, 128 features are extracted based on four parameters from the lower limb of human body specifically the left and right hip angles along with both left and right knee angles and these features are validated for gen...
Conference Paper
Gender classification via model-based human gait data is still immature. Hence in this research, the possibility of side view human gait silhouette to be used as gender recognition is evaluated using model-based approach. Firstly, six attributes located at lower part of human gait specifically from below waist onwards have been identified as the si...
Conference Paper
Gait recognition is one of the identification techniques that can be utilized nowadays. Hence in this study the six features of anatomical of human body are evaluated as feature extraction to develop the modeling of human walking gait. In addition, the proposed model is compared with the standard stick figure model specifically during walking by fo...
Article
Three phase electrical machines are normally exposed to lowered levels of supply voltage quality conditions which can appear simultaneously due to voltage disturbances of overvoltage or undervoltage, voltage unbalance and voltage waveform distortions. These voltage disturbances can cause effects of seriously overheating winding insulation resulting...

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