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Oyooni: a deep learning-based arabic assistant for visually impaired people
Since the beginning of time, visually impaired people have been relying on other senses to interpret their surroundings and function properly, using mobility tools and white canes to guide them. About a decade ago, their quality of life was leveled up by the advances in deep learning and computer vision that were able to achieve state-of-the-art results to assist blind people in daily tasks. Unfortunately, these progresses are very limited in Arabic language. Hence, this project presents “Oyooni” (Arabic for “My Eyes”), a voice-powered Arabic assistant, that introduces several contributions to the Arabic language community, and showcases four deep learning models trained to be used by Arabic-speaking users, in the hopes of helping visually challenged people detect Syrian banknotes, caption scenes in Arabic, detect color and recognize Arabic written text.
Haptic and Audio Interaction Design ; 1st International Workshop, HAID 2006, Glasgow, UK, August 31 - September 1, 2006, Proceedings
Overview The International Workshop on Haptic and Audio Interaction Design was - ganized as part of the EPSRC-funded MultiVis project. The main focus of the workshop was to investigate how the modalities of sound and haptics (touch) could be used together in interaction, and what novel interfaces could be p- vided when they are used in conjunction. What are the relative advantages of each of the modalities when used alone and together? Are there reasons why haptic-based information is moreuseful in certain situations than equivalent - dio information? How can di?erent modalities be used together to create c- pelling and useful interaction with computer-based systems?
Blind smart helmet
The Smart Helmet for the Blind is a project aimed at providing solutions for the challenges faced by blind individuals in their daily lives. The problem of detecting objects, identifying obstacles and distances, knowing the current location, and using a mobile application is a common issue for blind people. To address these problems, the Smart Helmet project was created, utilizing advanced technology and artificial intelligence to provide real-time assistance to the wearer. The helmet is connected to a Raspberry Pi 4, which processes information from the helmet's cameras and AI algorithms to analyze and predict the surrounding environment for a blind person.
