Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - A mobile-cloud collaborative traffic lights detector for blind navigation
AU - Angin, P.
AU - Bhargava, B.
AU - Helal, Sumi
PY - 2010
Y1 - 2010
N2 - Context-awareness is a critical aspect of safe navigation, especially for the blind and visually impaired in unfamiliar environments. Existing mobile devices for contextaware navigation fall short in many cases due to their dependence on specific infrastructure requirements as well as having limited access to resources that could provide a wealth of contextual clues. In this paper, we propose a mobile-cloud collaborative approach for context-aware navigation by exploiting the computational power of resources made available by Cloud Computing providers as well as the wealth of location-specific resources available on the Internet. We propose an extensible system architecture that minimizes reliance on infrastructure, thus allowing for wide usability. We present a traffic light detector that we developed as an initial application component of the proposed system. We present preliminary results of experiments performed to test the appropriateness for the real-time nature of the application. © 2010 IEEE.
AB - Context-awareness is a critical aspect of safe navigation, especially for the blind and visually impaired in unfamiliar environments. Existing mobile devices for contextaware navigation fall short in many cases due to their dependence on specific infrastructure requirements as well as having limited access to resources that could provide a wealth of contextual clues. In this paper, we propose a mobile-cloud collaborative approach for context-aware navigation by exploiting the computational power of resources made available by Cloud Computing providers as well as the wealth of location-specific resources available on the Internet. We propose an extensible system architecture that minimizes reliance on infrastructure, thus allowing for wide usability. We present a traffic light detector that we developed as an initial application component of the proposed system. We present preliminary results of experiments performed to test the appropriateness for the real-time nature of the application. © 2010 IEEE.
KW - Assistive technology
KW - Cloud
KW - Context-awareness
KW - Mobile
KW - Navigation
KW - Visually impaired
KW - Application components
KW - Blind navigation
KW - Cloud computing
KW - Collaborative approach
KW - Computational power
KW - Context- awareness
KW - Context-Aware
KW - Extensible systems
KW - Traffic light
KW - Distributed computer systems
KW - Mobile devices
U2 - 10.1109/MDM.2010.71
DO - 10.1109/MDM.2010.71
M3 - Conference contribution/Paper
SN - 9781424470754
SP - 396
EP - 401
BT - 11th IEEE International Conference on Mobile Data Management, MDM 2010
PB - IEEE
ER -