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arXiv · 2503.16475

LLM-Glasses: GenAI-driven Glasses with Haptic Feedback for Navigation of Visually Impaired People

Issatay Tokmurziyev·Miguel Altamirano Cabrera·Muhammad Haris Khan·Yara Mahmoud·Dzmitry Tsetserukou
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Abstract

LLM-Glasses is a wearable navigation system which assists visually impaired people by utilizing YOLO-World object detection, GPT-4o-based reasoning, and haptic feedback for real-time guidance. The device translates visual scene understanding into intuitive tactile feedback on the temples, allowing hands-free navigation. Three studies evaluate the system: recognition of 13 haptic patterns with an average recognition rate of 81.3%, VICON-based guidance with predefined paths using haptic cues, and an LLM-guided scene evaluation with decision accuracies of 91.8% without obstacles, 84.6% with static obstacles, and 81.5% with dynamic obstacles. These results show that LLM-Glasses can deliver reliable navigation support in controlled environments and motivate further work on responsiveness and deployment in more complex real-world scenarios.

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Issatay Tokmurziyev, Miguel Altamirano Cabrera, Muhammad Haris Khan, Yara Mahmoud, Dzmitry Tsetserukou. 2025-03-04. LLM-Glasses: GenAI-driven Glasses with Haptic Feedback for Navigation of Visually Impaired People. https://arxiv.org/abs/2503.16475

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