Browsing by Author "Worthington, A.E"

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • Thumbnail Image
    PublicationOpen Access
    POSTUREEASE: A Web Based Application for Monitoring the Sitting Posture in Computer Based Working Environment
    (SLIIT City UNI, 2025-07-08) Thennakoon, T.M.C.L; Worthington, A.E
    In today’s digital era, prolonged computer usage is commonplace, particularly in professional environments. However, extended periods of improper sitting posture can result in musculoskeletal disorders, fatigue, and chronic health complications. Addressing this concern, this research presents PostureEase, a web-based posture analysis application designed to promote ergonomic awareness and encourage healthy sitting habits. The system leverages computer vision and machine learning technologies to monitor posture in real time using webcam input. Developed with a React-based frontend and a Python-Flask backend, PostureEase processes live video streams through OpenCV and MediaPipe to detect poor posture based on facial and shoulder landmarks. Upon detecting improper alignment, the system provides immediate alerts to the user. Key features include posture history tracking, automated report generation, and exercise and ergonomic recommendations. Evaluation of the system demonstrated reliable performance under typical working conditions, with responsive detection and user-friendly interaction. This research contributes to the domain of health technology by offering a practical and preventive tool for posture correction. Future enhancements may include mobile integration and personalized analytics to further improve user experience and effectiveness. With a modular architecture and high usability, PostureEase achieved an accuracy of 92% in posture classification under normal lighting and device conditions. The system was evaluated through both user testing and technical validation, highlighting its potential for scalable deployment in ergonomic health monitoring.
  • Thumbnail Image
    PublicationOpen Access
    Trusty Record - Decentralized Medical Record Management System using Blockchain and Artificial Intelligence
    (SLIIT City UNI, 2025-07-08) Vijayaraj, A; Worthington, A.E
    Increasing demand for secure, accessible, and patient-controlled healthcare data systems has exposed the limitations of traditional centralized electronic health record (EHR) platforms. These systems often suffer from data breaches, limited interoperability, and a lack of transparency, leaving patients with minimal control over their personal medical information. This paper presents TrustyRecord, a decentralized medical record management system that leverages blockchain technology and artificial intelligence (AI) to overcome these challenges. Ethereum-based smart contracts are used to manage access control, ensuring transparency and immutability, while InterPlanetary File System (IPFS) enables tamper-proof, distributed storage of sensitive medical data. Additionally, a machine learning model trained on real-world clinical data performs predictive analysis, providing patients with early warnings of heart risk based on extracted health indicators. The system integrates Optical Character Recognition (OCR) technology to process unstructured medical files and convert them into structured data for analysis. TrustyRecord offers a secure, scalable, and intelligent approach to health data management, enhancing both patient empowerment and proactive healthcare delivery.