Paper
30 April 2022 Three-stage navigation to hand size object for visually impaired
Author Affiliations +
Proceedings Volume 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022; 121772F (2022) https://doi.org/10.1117/12.2626172
Event: International Workshop on Advanced Imaging Technology 2022 (IWAIT 2022), 2022, Hong Kong, China
Abstract
We propose a three-stage navigation method to a hand size target object using sound guidance for the visually impaired in a walking distance situation. The advantage of our proposed method is to let visually impaired people reach a target object that he/she should touch with only a camera-equipped wearable device. It could apply to any indoor situation because our proposed system needs only a vision-based pre-registration process where only a single video trajectory should be set in advance. The navigation is decomposed into three stages—path navigation, body navigation, and hand navigation. As for the walking stage, we utilize the Clew app that is sufficient for this purpose. For the successive two stages, we introduce AR anchor. The AR anchor should be registered on the target object in advance. Our sophisticated sound guidance is made to let the subject reach the target with the resolution of hand size. The stage change is informed by vibration. We have conducted a preliminary evaluation with our smartphone-based system and confirmed that the proposed method can navigate users to a hand size target starting from a 5-meter away position.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zilong Liang, Hidehiko Shishido, and Yoshinari Kameda "Three-stage navigation to hand size object for visually impaired", Proc. SPIE 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022, 121772F (30 April 2022); https://doi.org/10.1117/12.2626172
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Visualization

Cameras

Navigation systems

Autoregressive models

Target recognition

Scientific research

Switching

Back to Top