Design and implementation of augmented reality system for paper media based on ARtoolKit

2021 ◽  
Author(s):  
Weiyi Zhang ◽  
Wangzihan Zhang ◽  
Minghui Xu ◽  
Yijun Zheng ◽  
Haobo Wang
Keyword(s):  
Augmented Reality ◽  
Design And Implementation ◽  
Augmented Reality System

Design and implementation of an augmented reality system using gaze interaction

2011 ◽  
Vol 68 (2) ◽  
pp. 265-280 ◽  
Author(s):  
Jae-Young Lee ◽  
Hyung-Min Park ◽  
Seok-Han Lee ◽  
Soon-Ho Shin ◽  
Tae-Eun Kim ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Design And Implementation ◽  
Augmented Reality System ◽  
Gaze Interaction

scholarly journals A Navigation and Augmented Reality System for Visually Impaired People

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3061
Author(s):  
Alice Lo Valvo ◽  
Daniele Croce ◽  
Domenico Garlisi ◽  
Fabrizio Giuliano ◽  
Laura Giarré ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Visually Impaired ◽  
Virtual Path ◽  
Physical Support ◽  
Augmented Reality System ◽  
Virtual Paths ◽  
Visually Impaired People ◽  
Impaired People ◽  
Autonomous Mobility ◽  
Indoor And Outdoor

In recent years, we have assisted with an impressive advance in augmented reality systems and computer vision algorithms, based on image processing and artificial intelligence. Thanks to these technologies, mainstream smartphones are able to estimate their own motion in 3D space with high accuracy. In this paper, we exploit such technologies to support the autonomous mobility of people with visual disabilities, identifying pre-defined virtual paths and providing context information, reducing the distance between the digital and real worlds. In particular, we present ARIANNA+, an extension of ARIANNA, a system explicitly designed for visually impaired people for indoor and outdoor localization and navigation. While ARIANNA is based on the assumption that landmarks, such as QR codes, and physical paths (composed of colored tapes, painted lines, or tactile pavings) are deployed in the environment and recognized by the camera of a common smartphone, ARIANNA+ eliminates the need for any physical support thanks to the ARKit library, which we exploit to build a completely virtual path. Moreover, ARIANNA+ adds the possibility for the users to have enhanced interactions with the surrounding environment, through convolutional neural networks (CNNs) trained to recognize objects or buildings and enabling the possibility of accessing contents associated with them. By using a common smartphone as a mediation instrument with the environment, ARIANNA+ leverages augmented reality and machine learning for enhancing physical accessibility. The proposed system allows visually impaired people to easily navigate in indoor and outdoor scenarios simply by loading a previously recorded virtual path and providing automatic guidance along the route, through haptic, speech, and sound feedback.

An Augmented Reality System for Epidural Anesthesia (AREA): Prepuncture Identification of Vertebrae

2013 ◽  
Vol 60 (9) ◽  
pp. 2636-2644 ◽  
Author(s):  
Hussam Al-Deen Ashab ◽  
Victoria A. Lessoway ◽  
Siavash Khallaghi ◽  
Alexis Cheng ◽  
Robert Rohling ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Epidural Anesthesia ◽  
Augmented Reality System
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