Abdullah Saleh Bashanfar

Asia Pacific University of Technology & Innovation

Papers

Total Citations

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About

Abdullah Saleh Bashanfar is a researcher focused on assistive technologies and human-computer interaction, with a particular emphasis on enhancing mobility and accessibility for individuals with disabilities. His most cited work, "Wheelchair Navigation Using Voice Command with Obstacles Avoidance" (2017), addresses a critical challenge in assistive robotics: integrating speech recognition with real-time obstacle detection to create safer, more intuitive navigation systems for powered wheelchairs. This paper, which has garnered 3 citations, explores how voice-controlled automation can reduce physical strain and improve independence for users with limited motor function. Bashanfar’s contributions lie in bridging the gap between speech processing algorithms and practical mobility aids, highlighting the complexities of deploying voice interfaces in dynamic environments where safety and reliability are paramount. While his citation count is modest, his work underscores a growing interest in accessible design, particularly in regions where assistive technology research is still emerging. By tackling issues like noise interference and response latency in speech systems, Bashanfar lays groundwork for future innovations in smart wheelchairs and inclusive robotics, making his research a valuable reference for students and engineers developing user-centered assistive devices.