EchoEyes: Shopping Items Identification Assistant for People with Vision Impairment
Vision impairment is a global issue and a daily struggle for those affected. Activities requiring access to information, particularly shopping, are a major hindrance for people with vision impairment. This study aimed to bridge the accessibility gap for people with vision impairment or PVI by developing assistive technology to aid them in shopping. The developed device used the Raspberry Pi with the YOLOv8 object detection model in eyeglasses form factor to detect shopping items using a custom dataset with Philippine shopping items and output the detected item description as audio feedback.
Authors
- Yu Shyang Tan (ORCID: https://orcid.org/0000-0001-7282-8980)
- Jan Kevin A. Galicia
- Maria Leonora C. Guico (ORCID: https://orcid.org/0000-0001-6930-7711)
Institutions
- Ateneo de Manila University (PH)
Publication Details
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1109/tencon61640.2024.10902976
- Primary Topic
- Tactile and Sensory Interactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00