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Rozita Jailani
Universiti Teknologi MARA
Control engineeringGaitFunctional electrical stimulationComputer scienceElectroencephalography
84Publications
8H-index
231Citations
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Publications 89
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This paper presents the development of mobile application which is an android based controller to control five hand gestures of prosthetic hand. In this study, prosthetic hand has been developed with 5 motors for each finger and mobile application using android system has been designed for the movements. MIT App Inventor is used to develop the android mobile application. This study has successfully developed a mobile application to control prosthetic hand with 5 different hand gestures. Improvem...
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#1M. N. Mohd NorH-Index: 2
#2Rozita Jailani (UiTM: Universiti Teknologi MARA)H-Index: 8
Last. Nooritawati Md Tahir (UiTM: Universiti Teknologi MARA)H-Index: 12
view all 3 authors...
Autism Spectrum Disorder is a lifelong neurodevelopmental impairment that affects brain growth and individual functional capabilities that associates with unusual movement and gait disturbance. The aim of this study is to investigate the significant features of EMG signals for lower limbs and arms muscle between Autism Spectrum Disorder (ASD) and Typical Development (TD) Children during walking. In this study, 30 ASD and 30 Typical Development (TD) children aged between 6 to 13 years old were as...
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#1Haryanti Norhazman (UiTM: Universiti Teknologi MARA)H-Index: 5
#2Norliza Zaini (UiTM: Universiti Teknologi MARA)H-Index: 6
Last. Mohd Fuad Abdul Latip (UiTM: Universiti Teknologi MARA)H-Index: 3
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The brain, which consists of four lobes, is responsible for the organization and governor of physical activities and the interpretation of information from the cognitive activities. Among the four lobes, frontal lobe is the best connected with emotion and behavior and it is highly sensitive to stress effect. Understanding the cognitive functions associated with frontal lobes, researchers also have studied extensively the relationship between EEG frontal lobes with emotions and stress. Many resea...
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#1N. FuadH-Index: 5
#2Mohd Nasir Taib (UiTM: Universiti Teknologi MARA)H-Index: 21
Last. M. E. MarwanH-Index: 2
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In this paper, the Artificial Neural Network (ANN) algorithm is used for classifying the 3D EEG PSD in brain balanced index (BBI) is presented. The EEG signal recording was conducted on 96 healthy subjects. Development of 3D EEG models involves pre-processing of raw EEG signals and construction of spectrogram images. The maximum PSD values were extracted as features from the model. There are three indexes for balanced brain; index1, index2, index 3, index 4 and index 5. There are significant dif...
#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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#2Rozita Jailani (UiTM: Universiti Teknologi MARA)H-Index: 8
Last. Nooritawati Md Tahir (UiTM: Universiti Teknologi MARA)H-Index: 12
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Autism spectrum disorder (ASD) is a complex and lifelong neurodevelopmental condition that occurs in early childhood and is associated with unusual movement and gait disturbances. An automated and accurate recognition of ASD gait provides assistance in diagnosis and clinical decision-making as well as improving targeted treatment. This paper explores the use of two well-known machine learning classifiers, artificial neural network (ANN) and support vector machine (SVM) in distinguishing ASD and ...
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#1Wan Zharfan Bin Wan Zainal Abiddin (UiTM: Universiti Teknologi MARA)H-Index: 1
#2Rozita Jailani (UiTM: Universiti Teknologi MARA)H-Index: 8
Last. Abdul Rahman Omar (UiTM: Universiti Teknologi MARA)H-Index: 9
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This paper presents the development of a robothuman imitation program which will be used in a telerehabilitation system for children with disabilities. The purpose of this project is to provide an easier and more efficient way of providing a rehabilitation process for children with disabilities, especially for autistic children. The number of autistic patients needing rehabilitation is increasing rapidly and with the problem of shortage of professional therapist, this can be an alternative solut...
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#1Che Zawiyah Che Hasan (UiTM: Universiti Teknologi MARA)H-Index: 2
#2Rozita JailaniH-Index: 8
Last. H. M. Desa (UiTM: Universiti Teknologi MARA)H-Index: 1
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1 CitationsSource
#1H. M. Desa (UiTM: Universiti Teknologi MARA)H-Index: 1
#2M. I. Ideris (University of Kuala Lumpur)
Last. Nooritawati Md TahirH-Index: 12
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Nov 1, 2017 in TENCON (IEEE Region 10 Conference)
#1Wan Zharfan Bin Wan Zainal Abiddin (UiTM: Universiti Teknologi MARA)H-Index: 1
#2Rozita Jailani (UiTM: Universiti Teknologi MARA)H-Index: 8
Last. Fazah Akhtar Hanapiah (UiTM: Universiti Teknologi MARA)H-Index: 8
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This paper presents the development process of real-time neurorehabilitation system for paediatric using autonomous humanoid robot NAO and Microsoft Kinect Motion Sensor. This neurorehabilitation system enables paediatric patients to undergo rehabilitation session anywhere with capable Internet access. Humanoid robot NAO and paediatric patients are able to imitate each other aided by Microsoft Kinect Motion Sensor for skeletal tracking movement. Required data from rehabilitation system are then ...
2 CitationsSource
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