Siham Aouad

Mohammed V University, Mohamed I University

Papers

Total Citations

H-Index

About

Siham Aouad is a researcher advancing the field of human-computer interaction, with a primary focus on gesture recognition and multimodal interface control. Her work centers on developing non-contact, vision-based systems that interpret hand gestures to enable more natural and intuitive user experiences. In her 2021 paper, "Approach for Improving User Interface Based on Gesture Recognition" (5 citations), Aouad explored both independent and continuous gesture recognition techniques, leveraging visual detection to capture gesture information without physical contact. Building on this foundation, her 2023 study, "A Deep Learning Framework for Hand Gesture Recognition and Multimodal Interface Control" (3 citations), introduced a sophisticated deep learning architecture designed to enhance interaction across applications in robotics, augmented reality, and virtual reality. By integrating multimodal inputs, Aouad’s framework aims to make computer interfaces more seamless and responsive, reducing the learning curve for users. Her contributions are particularly significant as they address the growing demand for hands-free, accessible technology. With a clear trajectory toward more intelligent and adaptive systems, Aouad’s research is shaping the future of how humans engage with digital environments, offering practical solutions for both everyday and specialized applications.