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Previous studies in motor control have yielded clear evidence that gaze behavior (where someone looks) quantifies the attention paid to perform actions. However, eliciting clinically meaningful results from the gaze data has been done manually, rendering it incredibly tedious, time-consuming, and highly subjective. This paper aims to study the feasibility of automating the coding process of the gaze data taking functional upper-limb tasks as a case study. This is achieved by developing a new algorithm capable of coding the collected gaze data through three main stages; data preparation, data processing, and output generation. The input data in the form of a crosshair and a gaze video are converted into a 25 Hz frame rate sequence. Keyframes and non-key frames are then obtained and processed using a combination of image processing techniques and a fuzzy logic controller. In each trial, the location and duration of gaze fixation at the areas of interest (AOIs) are obtained. Once the gaze data is coded, it can be presented in different forms and formats, including the stacked color bar. The obtained results showed that the developed coding algorithm highly agrees with the manual coding method but significantly faster and less prone to unsystematic errors. Statistical analysis showed that Cohen's Kappa ranges from 0.705 to 1.0. Moreover, based on the intra-class correlation coefficient (ICC), the agreement index between computerized and manual coding methods is found to be (i) 0.908 with 95% confidence intervals (0.867, 0.937) for the anatomical hand and (ii) 0.923 with 95% confidence intervals (0.888, 0.948) for the prosthetic hand. A Bland-Altman plot also showed that all data points are closely scattered around the mean. These findings confirm the validity and effectiveness of the developed coding algorithm. The developed algorithm demonstrated that it is feasible to automate the coding of the gaze data, reduce the coding time, and improve the coding process's reliability.
Musa Alyaman; Mohammad Sobuh; Alaa Abu Zaid; Laurence Kenney; Adam J Galpin; Majid A. Al-Taee. Towards automation of dynamic-gaze video analysis taking functional upper-limb tasks as a case study. Computer Methods and Programs in Biomedicine 2021, 203, 106041 .
AMA StyleMusa Alyaman, Mohammad Sobuh, Alaa Abu Zaid, Laurence Kenney, Adam J Galpin, Majid A. Al-Taee. Towards automation of dynamic-gaze video analysis taking functional upper-limb tasks as a case study. Computer Methods and Programs in Biomedicine. 2021; 203 ():106041.
Chicago/Turabian StyleMusa Alyaman; Mohammad Sobuh; Alaa Abu Zaid; Laurence Kenney; Adam J Galpin; Majid A. Al-Taee. 2021. "Towards automation of dynamic-gaze video analysis taking functional upper-limb tasks as a case study." Computer Methods and Programs in Biomedicine 203, no. : 106041.
The scope of this paper is focused on the multidimensional poverty problem in Jordan. Household expenditure and income surveys provide data that are used for identifying and measuring the poverty status of Jordanian households. However, carrying out such surveys is hard, time consuming, and expensive. Machine learning could revolutionize this process. The contribution of this work is the proposal of an original machine learning approach to assess and monitor the poverty status of Jordanian households. This approach takes into account all the household expenditure and income surveys that took place since the early beginning of the new millennium. This approach is accurate, inexpensive, and makes poverty identification cheaper and much closer to real-time. Data preprocessing and handling imbalanced data are major parts of this work. Various machine learning classification models are applied. The LightGBM algorithm has achieved the best performance with 81% F1-Score. The final machine learning classification model could transform efforts to track and target poverty across the country. This work demonstrates how powerful and versatile machine learning can be, and hence, it promotes for adoption across many domains in both the private sector and government.
Adham Alsharkawi; Mohammad Al-Fetyani; Maha Dawas; Heba Saadeh; Musa Alyaman. Poverty Classification Using Machine Learning: The Case of Jordan. Sustainability 2021, 13, 1412 .
AMA StyleAdham Alsharkawi, Mohammad Al-Fetyani, Maha Dawas, Heba Saadeh, Musa Alyaman. Poverty Classification Using Machine Learning: The Case of Jordan. Sustainability. 2021; 13 (3):1412.
Chicago/Turabian StyleAdham Alsharkawi; Mohammad Al-Fetyani; Maha Dawas; Heba Saadeh; Musa Alyaman. 2021. "Poverty Classification Using Machine Learning: The Case of Jordan." Sustainability 13, no. 3: 1412.
3D scanning is the process of generating a computer aided design model from an existing physical part. It can be achieved by different methods whether using: LASER, camera, and many advanced optical techniques. In this paper, we will concentrate on camera scanning technique, which is known as Photogrammetry. The input is a set of photographs, and the output is a 3D model of a real-world object. By using a camera and acquiring many images with predefined positions and orientations. 3D reconstruction from 2D images using Structure from Motion algorithm produces the point cloud and eventually the complete textured mesh. This system is specialized in 3D scanning of small objects. It involves the design of a fully automatic closed system of controlled scanning conditions in terms of lighting and angles of captured images.
Alaa Abd-Raheem; Farah Aldeiri; Musa Al Yaman. Design of an Automated 3D Scanner. 2018 International Arab Conference on Information Technology (ACIT) 2018, 1 -5.
AMA StyleAlaa Abd-Raheem, Farah Aldeiri, Musa Al Yaman. Design of an Automated 3D Scanner. 2018 International Arab Conference on Information Technology (ACIT). 2018; ():1-5.
Chicago/Turabian StyleAlaa Abd-Raheem; Farah Aldeiri; Musa Al Yaman. 2018. "Design of an Automated 3D Scanner." 2018 International Arab Conference on Information Technology (ACIT) , no. : 1-5.
Retinal prosthesis is steadily improving as a clinical treatment for blindness caused by retinitis pigmentosa. However, despite the continued exciting progress, the level of visual return is still very poor. It is also unlikely that those utilising these devices will stop being legally blind in the near future. Therefore, it is important to develop methods to maximise the transfer of useful information extracted from the visual scene. Such an approach can be achieved by digitally suppressing less important visual features and textures within the scene. The result can be interpreted as a cartoon-like image of the scene. Furthermore, utilising extravisual wavelengths such as infrared can be useful in the decision process to determine the optimal information to present. In this paper, we, therefore, present a processing methodology that utilises information extracted from the infrared spectrum to assist in the preprocessing of the visual image prior to conversion to retinal information. We demonstrate how this allows for enhanced recognition and how it could be implemented for optogenetic forms of retinal prosthesis. The new approach has been quantitatively evaluated on volunteers showing 112% enhancement in recognizing objects over normal approaches.
Walid Al-Atabany; Musa Al Yaman; Patrick Degenaar. Extraspectral Imaging for Improving the Perceived Information Presented in Retinal Prosthesis. Journal of Healthcare Engineering 2018, 2018, 1 -14.
AMA StyleWalid Al-Atabany, Musa Al Yaman, Patrick Degenaar. Extraspectral Imaging for Improving the Perceived Information Presented in Retinal Prosthesis. Journal of Healthcare Engineering. 2018; 2018 ():1-14.
Chicago/Turabian StyleWalid Al-Atabany; Musa Al Yaman; Patrick Degenaar. 2018. "Extraspectral Imaging for Improving the Perceived Information Presented in Retinal Prosthesis." Journal of Healthcare Engineering 2018, no. : 1-14.
License Plate Recognition (LPR) system is a key to many traffic related applications such as road traffic monitoring or parking lots access control. This paper proposes an automatic license plate recognition system for Jordanian license plates. The system presents an algorithm for the detection of license plate and segmentation of characters, and then recognition is done using back propagation neural network. The gain contribution of this work is the improvement of the license plate detection subsystem, which in turn improves the whole LPR system. The performance of the proposed system has been investigated on real images of 240 vehicles captured under various illumination conditions. The results show a robust algorithm with average success rate of 90% for Jordanian license plates.
Haneen Alhaj Mustafa; Sara Hassanin; Musa Al Yaman. Automatic Jordanian License Plate Recognition System Using Multistage Detection. 2018 15th International Multi-Conference on Systems, Signals & Devices (SSD) 2018, 1228 -1233.
AMA StyleHaneen Alhaj Mustafa, Sara Hassanin, Musa Al Yaman. Automatic Jordanian License Plate Recognition System Using Multistage Detection. 2018 15th International Multi-Conference on Systems, Signals & Devices (SSD). 2018; ():1228-1233.
Chicago/Turabian StyleHaneen Alhaj Mustafa; Sara Hassanin; Musa Al Yaman. 2018. "Automatic Jordanian License Plate Recognition System Using Multistage Detection." 2018 15th International Multi-Conference on Systems, Signals & Devices (SSD) , no. : 1228-1233.
The aim of this investigation is to design and construct a demonstrative prototype of a low cost foot planter-pressure scanner that can assess health care providers in diagnosing and monitoring patients who are suffering from foot disorders. The prototype will be designed from a matrix of force sensitive sensors that measure the spread of forces on the plantar surface of the foot. Suitable Graphical User Interface (GUI) software is designed in order to fit with health care provider requirements.
Faris Mattar; Hala Al Qudaimat; Bashar Al Qaroot; Musa Al Yaman. Low cost foot plantar-pressure scanning pad. 2016 3rd Middle East Conference on Biomedical Engineering (MECBME) 2016, 20 -24.
AMA StyleFaris Mattar, Hala Al Qudaimat, Bashar Al Qaroot, Musa Al Yaman. Low cost foot plantar-pressure scanning pad. 2016 3rd Middle East Conference on Biomedical Engineering (MECBME). 2016; ():20-24.
Chicago/Turabian StyleFaris Mattar; Hala Al Qudaimat; Bashar Al Qaroot; Musa Al Yaman. 2016. "Low cost foot plantar-pressure scanning pad." 2016 3rd Middle East Conference on Biomedical Engineering (MECBME) , no. : 20-24.
A method of Visual Scene Preparation for the patients suffering Retinitis Pigmentosa is implemented in hardware for the first time. The scene is captured with two cameras, one visible spectrum and one infra-red, in order to distinguish between the live and non-live objects. The live objects are subsequently emphasized in the output image, thus helping a patient to see the most significant detail with the healthy part of the retina. The implementation uses Verilog language and FPGA platform. A system prototype is analyzed and compared to MATLAB results.
Musa Al Yaman; Walid Al-Atabany; Alex Bystrov; Patrick Degenaar. FPGA design for dual-spectrum visual scene preparation in retinal prosthesis. 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2014, 2014, 4691 -4694.
AMA StyleMusa Al Yaman, Walid Al-Atabany, Alex Bystrov, Patrick Degenaar. FPGA design for dual-spectrum visual scene preparation in retinal prosthesis. 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2014; 2014 ():4691-4694.
Chicago/Turabian StyleMusa Al Yaman; Walid Al-Atabany; Alex Bystrov; Patrick Degenaar. 2014. "FPGA design for dual-spectrum visual scene preparation in retinal prosthesis." 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2014, no. : 4691-4694.
This paper presents a new control methodology for high throughput optoelectronic/optogenetic prostheses. Optogenetic prostheses use a gene therapy method to photosensitize neurons, for which the most efficient stimulation is short pulses of just enough high intensity light. We have previously demonstrated that stimulation can be achieved with combined CMOS-Nitride micro-photonic systems. We have now explored operating schemes to provide accurate short pulses of high radiance light in an intensity modulation scheme for the purpose of retinal prosthesis. We have shown that by utilizing the sparse nature of retinal code, it is possible to have an adaptive system which minimizes information transfer compared to raster or purely asynchronous bit serial modes. We are thus being able to provide more dynamic and thus intensity accuracy. We have implemented our schemes on an FPGA to measure relative modes.
Musa Al Yaman; Arfan Ghani; Alex Bystrov; Patrick Degenaar; Pleun Maaskant. FPGA design of a pulse encoder for optoelectronic neural stimulation and recording arrays. 2013 IEEE Biomedical Circuits and Systems Conference (BioCAS) 2013, 190 -193.
AMA StyleMusa Al Yaman, Arfan Ghani, Alex Bystrov, Patrick Degenaar, Pleun Maaskant. FPGA design of a pulse encoder for optoelectronic neural stimulation and recording arrays. 2013 IEEE Biomedical Circuits and Systems Conference (BioCAS). 2013; ():190-193.
Chicago/Turabian StyleMusa Al Yaman; Arfan Ghani; Alex Bystrov; Patrick Degenaar; Pleun Maaskant. 2013. "FPGA design of a pulse encoder for optoelectronic neural stimulation and recording arrays." 2013 IEEE Biomedical Circuits and Systems Conference (BioCAS) , no. : 190-193.
Audio watermarking has been proposed as an effective solution to solve or mitigate the new challenges of audio ownership verification. These challenges arose from easiness of copying and distributing of audio applications. This paper proposes important performance enhancements to a previously-reported audio ownership verification system based upon utilizing a combination of Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) techniques. A new audio signal framing, DWT matrix formation and embedding methods are proposed and successfully implemented to improve the minimum audio-cover period, quality of the watermarked audio and its robustness against various attacks. Performance evaluation of the developed system demonstrated improvements of 69% in the required minimum audio-cover period, 25% in the Signal-to-Noise Ratio (SNR), and improved robustness against various watermarking benchmark attacks.
Musa Al Yaman; Majid A. Al-Taee; Hemam A. Alshammas. Audio-watermarking based ownership verification system using enhanced DWT-SVD technique. International Multi-Conference on Systems, Sygnals & Devices 2012, 1 -5.
AMA StyleMusa Al Yaman, Majid A. Al-Taee, Hemam A. Alshammas. Audio-watermarking based ownership verification system using enhanced DWT-SVD technique. International Multi-Conference on Systems, Sygnals & Devices. 2012; ():1-5.
Chicago/Turabian StyleMusa Al Yaman; Majid A. Al-Taee; Hemam A. Alshammas. 2012. "Audio-watermarking based ownership verification system using enhanced DWT-SVD technique." International Multi-Conference on Systems, Sygnals & Devices , no. : 1-5.