Mohammed Ghaith Altarabichi
Papers
1
Total Citations
2
H-Index
1
About
Mohammed Ghaith Altarabichi is a researcher at the intersection of assistive technology, computer vision, and machine learning, with a primary focus on improving quality of life for individuals with disabilities. His most cited work, "A Vision-based Indoor Navigation System for Individuals with Visual Impairment" (2019), proposes a portable, real-time system that leverages machine learning algorithms for obstacle avoidance and spatial orientation. This contribution addresses a critical challenge in assistive robotics and human-computer interaction, offering a practical solution for independent indoor navigation. Though early in his career, Altarabichi’s work has already garnered attention, with this paper accumulating citations that underscore its relevance in the growing field of vision-based assistive technologies. His research exemplifies how applied AI can bridge the gap between computational models and real-world accessibility needs. Altarabichi continues to explore innovative ways to integrate deep learning with wearable systems, aiming to make daily environments more navigable for visually impaired users. His contributions are a promising step toward inclusive, technology-driven independence.
Research Focus
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Top Papers
- 1