Year: 2024
Type: preprint
Abstract: In this paper, we present SeeSay, an assistive device designed for individuals with visual impairments. This system leverages large language models (LLMs) for speech recognition and visual querying. It effectively identifies, records, and responds to the user's environment by providing audio guidance using retrieval-augmented generation (RAG). Our experiments demonstrate the system's capability to recognize its surroundings and respond to queries with audio feedback in diverse settings. We hope that the SeeSay system will facilitate users' comprehension and recollection of their surroundings, thereby enhancing their environmental perception, improving navigational capabilities, and boosting overall independence.
Source: arXiv (Cornell University)
Author: Yu, Melody
Language: English
Subfield: Occupational Therapy
Field: Health Professions
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W4403928896