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Communities in DSpace

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Recent Submissions

Smart Glove for Sign Language
(Dr. Haneen Al-Autt, 2026-06-18) Ahmad Kamel Al-Sadeq; Faiq A
The communication gap between the deaf and hard-of-hearing community and the rest of society remains a significant socio-technical challenge. Sign language is a rich and structured visual language, yet it is rarely understood by the general public, leading to daily isolation and accessibility barriers for its users. This project presents the implementation of an assistive technology solution: an interactive, sensor-integrated wearable glove designed to bridge this communication divide. By capturing hand gestures and finger articulations in real-time, the system maps physical signs directly to corresponding linguistic text and audio outputs via a dedicated mobile application. The core philosophy of this project is to leverage low-cost embedded systems and physical computing to provide an intuitive, reliable, and portable translation tool that empowers sign language speakers in everyday interactions.
Smart Glove for Sign Language
(Dr. Haneen Al-Autt, 2026-01-28) Ahmad Kamel Al-Sadeq; Faiq Aref Zeidan
Sign language is a primary means of communication for individuals with hearing and speech impairments however communication barriers still exist between sign language users and the general public. This project presents the design and implementation of an AI-based smart glove for real time sign language recognition. The proposed project utilizes a wearable gloves equipped with flex sensors and inertial measurement units “IMU” to capture finger bending and hand motion data. Sensor readings are processed using an embedded ESP32 microcontroller, where a lightweight TinyML model performs gesture classification locally without the need for internet connectivity. A supervised machine learning approach is adopted, in which sensors data is collected, preprocessed, and used to train a neural network capable of recognizing predefined sign language gestures. The trained model is converted to a TensorFlow Lite format and deployed on the ESP32 for efficient real time inference. Recognized gestures are transmitted wirelessly to a mobile application via Bluetooth Low Energy “BLE”, where they are displayed as text and converted into speech. An additional application level processing layer is introduced to arrange recognized words into meaningful sentences, enhancing communication effectiveness. The proposed system demonstrates the feasibility of integrating artificial intelligence, embedded systems, and TinyML to develop an efficient assistive technology solution. The Smart Glove offers a low cost, portable, and privacy preserving approach for sign language interpretation, with potential applications in daily communication, education, and social inclusion for the speech impaired community.
Photographer Robot -Thikra-
(Dr. Saad Tarabieh, 2026-01-28) Dania Shashtare; Rama AbuGhdeeb
This project presents the design and implementation of Thikra, a smart photographer robot developed to automate the photo capturing process in an intelligent and interactive manner. The main objective of the system is to provide a hands-free photography solution that minimizes human intervention while maintaining accurate framing and high-quality image results. The system employs computer vision techniques to detect users, determine their position, and measure the distance between the camera and the subject. Based on this information, the robot automatically adjusts the camera orientation and position to ensure proper alignment and balanced image composition. User interaction is achieved through an integrated keypad, display screen, and audio feedback system, allowing users to operate the robot easily and intuitively. Captured images can be previewed in real time and printed instantly, enhancing the overall user experience. Thikra integrates both hardware and software components, including camera modules, motors, sensors, and microcontrollers, which work together to ensure smooth camera movement, reliable user detection, and synchronized system control. Compared to traditional photography systems and conventional photo booths, the proposed robot offers autonomous operation, real-time user interaction, and automatic adjustment ca- pabilities, making it suitable for events, exhibitions, and indoor public environments where efficiency, accuracy, and user convenience are essential.
T1D Type 1 Diabetes
(Dr. Emad Natsheh, 2026-06-15) Dania Shashtare; Rama AbuGhdeeb
T1D, which stands for Type 1 Diabetes, is a healthcare follow-up application designed to sup- port patients with Type 1 Diabetes in managing their daily health routine in an organized and accessible way. The system provides tools for glucose tracking, meal logging, reports, appoint- ments, notifications, and communication with healthcare providers. The application supports multiple user roles, including patients, doctors, nutritionists, family members, and administrators. Patients can record glucose readings, track meals, view reports, book appointments, and communicate with doctors and nutritionists. Doctors can monitor assigned patients, review glucose data, manage appointments, and provide medical follow-up. Nutritionists can create meal plans and follow patient progress, while family members can monitor patient safety and receive important alerts. The admin role manages users and approves healthcare providers. The system was developed using Flutter for the frontend, Node.js and Express.js for the backend, MongoDB for data storage, and Firebase for notifications and real-time alert support. The application also includes multi-language support for Arabic and English, dark mode, role-based access control, and secure password management. Overall, T1D aims to make diabetes care easier, safer, and more organized by connecting pa- tients, healthcare providers, and family members within one integrated platform.
أثر تطبيق سياسة الانضباط السلوكي على السلوك الطلابي في المدارس الحكومية بمحافظة القدس: الدور الوسيط للمعلمين
(جامعة النجاح الوطنية, 2026-07-02) ولاء عزيز عبدالجبار سليمان
هدفت هذه الدراسة إلى استقصاء أثر تطبيق سياسة الانضباط السلوكي على السلوك الطلابي (التنمر، العنف، التسيب، والغش) في المدارس الحكومية بمحافظة القدس، مع بحث الدور الوسيط للمعلمين في هذه العلاقة. واعتمدت الدراسة المنهج المختلط (الكمي والنوعي) مستخدمة أداتي (الاستبانة، والمقابلة)، وتكوّن مجتمع الدراسة من (2536) معلماً ومعلمة في المدارس الحكومية بمحافظة القدس، في حين بلغت عينة الاستبانة (303) معلماً ومعلمة، أما الجانب النوعي فقد شمل إجراء (14) مقابلة مع معلمين ومعلمات من المدارس ذاتها. أظهرت النتائج وجود أثر لسياسة الانضباط السلوكي على بعض أبعاد السلوك الطلابي، إلا أن هذا الأثر جاء متفاوتاً ومحدوداً في بعض النماذج. كما بينت النتائج أن دور المعلم كان أكثر وضوحاً في تفسير التغيرات المرتبطة بالسلوك الطلابي، في حين لم يظهر الدور الوسيط للمعلمين بصورة قوية في معظم التحليلات. كذلك، لم تظهر فروق ذات دلالة إحصائية تعزى لمتغيرات الجنس، وسنوات الخبرة، ونوع المدرسة، بينما ظهرت فروق تعزى لمتغير المؤهل العلمي لصالح فئتي الدبلوم والماجستير. وكشفت نتائج المقابلات أن المعلمين يعتمدون على ممارسات مباشرة، مثل وضع القواعد الصفية، والتدخل الفوري، والتعزيز، وتطبيق الإجراءات العقابية، إلى جانب ممارسات تربوية قائمة على التوعية وبناء العلاقات. كما برزت تحديات تحد من فاعلية السياسة، أبرزها ضعف تعاون أولياء الأمور، وكثافة الصفوف، والضغوط النفسية، وقلة التدريب، وتوصي الدراسة بتطوير برامج تدريبية متخصصة للمعلمين في إدارة الصف، وتعزيز التعاون بين المدرسة والأسرة، وتفعيل دور المرشد التربوي، وتقليل كثافة الصفوف، مع إجراء دراسات مستقبلية تشمل الطلبة وأولياء الأمور ومدارس من محافظات أخرى. الكلمات المفتاحية: سياسة الانضباط السلوكي، السلوك الطلابي، دور المعلم، المدارس الحكومية، محافظة القدس، الانضباط المدرسي.