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Rohilah Sahak
Universiti Teknologi MARA
43Publications
7H-index
167Citations
Publications 43
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#1Rohilah SahakH-Index: 7
#2Nooritawati Md Tahir (UiTM: Universiti Teknologi MARA)H-Index: 12
Last.Fadhlan Kamaruzaman (UiTM: Universiti Teknologi MARA)H-Index: 2
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This study investigates the potential gait features that are related to human recognition using orthogonal least square (OLS). Firstly, video of 30 subjects walking in oblique view was recorded using Kinect. Next, all 20 skeleton joints in 3D space were extracted and further selected using OLS. Additionally, SVM with linear, polynomial and radial basis function (RBF) kernel was used to classify the selected features. As consequences, OLS was proven to be able to identify the significant features...
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#1Rohilah Sahak (UiTM: Universiti Teknologi MARA)H-Index: 7
#2Nur Khalidah Zakaria (UiTM: Universiti Teknologi MARA)H-Index: 3
Last.Rozita Jailani (UiTM: Universiti Teknologi MARA)H-Index: 8
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In this study the overview of human gait analysis and recognition is discussed based on method and approach by previous researches specifically using the kinect sensor. It was found that upon extraction of the twenty skeleton points using kinect sensor, most researches investigated and explored suitable method or approach in identifying significant gait features for better recognition rate. The advantages and limitation of each study by previous researchers are discussed in detail. However, ther...
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#1Rohilah Sahak (UiTM: Universiti Teknologi MARA)H-Index: 7
#2Nooritawati Md Tahir (UiTM: Universiti Teknologi MARA)H-Index: 12
Last.Ali Al Misreb (International University of Sarajevo)
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#1Rohilah Sahak (UiTM: Universiti Teknologi MARA)H-Index: 7
#2Nooritawati Md Tahir (UiTM: Universiti Teknologi MARA)H-Index: 12
Last.Fadhlan Kamaruzaman (UiTM: Universiti Teknologi MARA)H-Index: 2
view all 4 authors...
In this study the overview of human gait followed by previous researches on model-based analysis in human gait recognition will be discussed. This study focuses on general techniques employed in gait recognition using video sequences of human gait that was attained from a standard video camera. Advantages and drawbacks of the employed techniques on the gait video are also identified. Additionally, detailed explanation on the stages involved in the framework of human gait recognition will be elab...
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#2Rohilah SahakH-Index: 7
Last.Fadhlan KamaruzamanH-Index: 2
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#1Rohilah Sahak (UiTM: Universiti Teknologi MARA)H-Index: 7
#2Nooritawati Md Tahir (UiTM: Universiti Teknologi MARA)H-Index: 12
Last.Fadhlan Hafizhelmi Kamaru Zaman (UiTM: Universiti Teknologi MARA)H-Index: 1
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This paper investigated the most suitable multi-class support vector machine (SVM) coding design in recognising human gait based on frontal view that include one-versus-all (OVA), one-versus-one (OVO), error correcting output codes (ECOC), ordinal, sparse random and dense random algorithms. Firstly, walking gait of 30 subjects is captured using Kinect sensor. Next, all 20 skeleton joints within the full gait cycle are extracted as input features. Further, the gait features acted as inputs to the...
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This paper presents the use of locally linear embedding (LLE) as feature extraction technique for classifying a person’s identity based on their walking gait patterns. Skeleton data acquired from Microsoft Kinect camera were used as an input for (1). Multilayer Perceptron (MLP) and (2). LLE with MLP. The MLP classification accuracy result was used for comparison between both. Several MLP and LLE properties were tested to find the optimal number of setting that can improve the MLP performance. Ba...
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This study describes the recognition of human gait in the oblique and frontal views using novel gait features derived from the skeleton joints provided by Kinect. In D-joint, the skeleton joints were extracted directly from the Kinect, which generates the gait feature. On the other hand, H-joint distance is a feature of distance between the hip joint with other skeleton joints. Prior to the gait feature extraction, the skeleton joints provided by Kinect were pre-processed in order to standardize...
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#1Rohilah Sahak (UiTM: Universiti Teknologi MARA)H-Index: 7
#2Wahidah MansorH-Index: 9
Last.Azlee Zabidi (UiTM: Universiti Teknologi MARA)H-Index: 9
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1 CitationsSource
#1Rohilah Sahak (UiTM: Universiti Teknologi MARA)H-Index: 7
#2Nooritawati Md Tahir (UiTM: Universiti Teknologi MARA)H-Index: 12
Last.Fadhlan Kamaruzaman (UiTM: Universiti Teknologi MARA)H-Index: 2
view all 4 authors...
This paper discussed the recognition of human gait for both frontal and oblique view based on orthogonal least square (OLS) as feature selection and Multi-Layer perceptron (MLP) as classifier. Firstly, kinect sensor was used to acquire several frames of human gait in both oblique and frontal view. Next, feature extraction is conducted via skeleton joint point in the 3D space known as direct-gait (D-G) feature. Further, feature selection is performed in identifying the significant D-G features us...
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