Embodied Intelligence Applications in Assistive Technologies for the Visually Impaired

This paper investigates the application of Embodied Intelligence (EI) in assistive technologies for the visually impaired (BLV) population. The study examines the challenges faced by BLV individuals, including mobility, information access, and social interaction, while identifying the limitations of existing assistive devices. A theoretical framework is proposed, integrating EI's core components—perception, decision-making, and action execution—to deliver adaptive and personalized solutions. To validate the framework, an experimental study was conducted using an EI prototype. Participants, including those with complete and partial blindness, were observed over 60 days, with data collected both before and after using the prototype. Results, analyzed through the Visual Functioning Subscale (VFS), demonstrated significant improvements in navigation, safety, and social engagement. This research highlights the transformative potential of EI in enhancing the independence and quality of life of BLV individuals while addressing critical ethical and societal considerations for its implementation.