Now showing items 1-11 of 11

    • Automated Parts-Based Model for Recognizing Human–Object Interactions from Aerial Imagery with Fully Convolutional Network 

      Ghadi, Yazeed Yasin; Waheed, Manahil; al Shloul, Tamara; Alsuhibany, Suliman A.; Jalal, Ahmad; Park, Jeongmin (MDPI, 2022)
      Advanced aerial images have led to the development of improved human–object interaction recognition (HOI) methods for usage in surveillance, security, and public monitoring systems. Despite the ever-increasing rate of ...
    • Automatic Anomaly Monitoring in Public Surveillance Areas 

      Alarfaj, Mohammed; Pervaiz, Mahwish; Ghadi, Yazeed Yasin; Al Shloul, Tamara; Alsuhibany, Suliman A.; Jalal, Ahmad; Park, Jeongmin (Tech Science Press, 2022)
      With the dramatic increase in video surveillance applications and public safety measures, the need for an accurate and effective system for abnormal/sus-picious activity classification also increases. Although it has ...
    • Body Worn Sensors for Health Gaming and e-Learning in Virtual Reality 

      Afsar, Mir Mushhood; Saqib, Shizza; Ghadi, Yazeed Yasin; Alsuhibany, Suliman A.; Jalal, Ahmad; Park, Jeongmin (Tech Science Press, 2022)
      Virtual reality is an emerging field in the whole world. The problem faced by people today is that they are more indulged in indoor technology rather than outdoor activities. Hence, the proposed system introduces a fitness ...
    • CNN Based Multi-Object Segmentation and Feature Fusion for Scene Recognition 

      Rafique, Adnan Ahmed; Ghadi, Yazeed Yasin; Alsuhibany, Suliman A.; Chelloug, Samia Allaoua; Jalal, Ahmad; Park, Jeongmin (Tech Science Press, 2022)
      Latest advancements in vision technology offer an evident impact on multi-object recognition and scene understanding. Such scene-understanding task is a demanding part of several technologies, like augmented reality-based ...
    • Home Automation-Based Health Assessment along Gesture Recognition via Inertial Sensors 

      Rustam, Hammad; Muneeb, Muhammad; Alsuhibany, Suliman A.; Ghadi, Yazeed Yasin; Al Shloul, Tamara; Jalal, Ahmad; Park, Jeongmin (Tech Science Press, 2023)
      Hand gesture recognition (HGR) is used in a numerous applications, including medical health-care, industrial purpose and sports detection. We have developed a real-time hand gesture recognition system using inertial sensors ...
    • An Intelligent HealthCare Monitoring Framework for Daily Assistant Living 

      Ghadi, Yazeed Yasin; Khalid, Nida; Alsuhibany, Suliman A.; Al Shloul, Tamara; Jalal, Ahmad; Park, Jeongmin (Tech Science Press, 2022)
      Human Activity Recognition (HAR) plays an important role in life care and health monitoring since it involves examining various activities of patients at homes, hospitals, or offices. Hence, the proposed system integrates ...
    • Intelligent Sign Language Recognition System for E-Learning Context 

      Hussain, Muhammad Jamil; Shaoor, Ahmad; Alsuhibany, Suliman A.; Ghadi, Yazeed Yasin; al Shloul, Tamara; Jalal, Ahmad; Park, Jeongmin (Tech Science Press, 2022)
      In this research work, an efficient sign language recognition tool for e-learning has been proposed with a new type of feature set based on angle and lines. This feature set has the ability to increase the overall performance ...
    • Robust Object Categorization and Scene Classification over Remote Sensing Images via Features Fusion and Fully Convolutional Network 

      Ghadi, Yazeed Yasin; Rafique, Adnan Ahmed; Al Shloul, Tamara; Alsuhibany, Suliman A.; Jalal, Ahmad; Park, Jeongmin (MDPI, 2022)
      The latest visionary technologies have made an evident impact on remote sensing scene classification. Scene classification is one of the most challenging yet important tasks in understanding high-resolution aerial and ...
    • Self-Care Assessment for Daily Living Using Machine Learning Mechanism 

      Batool, Mouazma; Ghadi, Yazeed Yasin; Alsuhibany, Suliman A.; al Shloul, Tamara; Jalal, Ahmad; Park, Jeongmin (Tech Science Press, 2022)
      Nowadays, activities of daily living (ADL) recognition system has been considered an important field of computer vision.Wearable and optical sensors are widely used to assess the daily living activities in healthy people ...
    • Smartphone Sensor-Based Human Locomotion Surveillance System Using Multilayer Perceptron 

      Azmat, Usman; Ghadi, Yazeed Yasin; Al Shloul, Tamara; Alsuhibany, Suliman A.; Jalal, Ahmad; Park, Jeongmin (MDPI, 2022)
      Applied sensing technology has made it possible for human beings to experience a revolutionary aspect of the science and technology world. Along with many other fields in which this technology is working wonders, human ...
    • Smartphone Sensors Based Physical Life-Routine for Health Education 

      Al Shloul, Tamara; Azmat, Usman; Alsuhibany, Suliman A.; Ghadi, Yazeed Yasin; Jalal, Ahmad; Park, Jeongmin (Tech Science Press, 2022)
      The physical and the mental health of a human being largely depends upon his physical life-routine (PLR) and today’s much advanced technological methods make it possible to recognize and keep track of an individual’s PLR. ...