Mobile Crowd Assisted Navigation for the Visually Impaired

被引:3
作者
Olmschenk, Greg [1 ,2 ]
Yang, Christopher [2 ]
Zhu, Zhigang [1 ,2 ]
Tong, Hanghang [3 ]
Seiple, William H. [4 ]
机构
[1] CUNY, Grad Ctr, New York, NY 10016 USA
[2] CUNY City Coll, New York, NY USA
[3] Arizona State Univ, Tempe, AZ 85287 USA
[4] Lighthouse Guild, Arlene R Gordon Res Inst, New York, NY USA
来源
IEEE 12TH INT CONF UBIQUITOUS INTELLIGENCE & COMP/IEEE 12TH INT CONF ADV & TRUSTED COMP/IEEE 15TH INT CONF SCALABLE COMP & COMMUN/IEEE INT CONF CLOUD & BIG DATA COMP/IEEE INT CONF INTERNET PEOPLE AND ASSOCIATED SYMPOSIA/WORKSHOPS | 2015年
基金
美国国家科学基金会;
关键词
crowd sourcing; mobile; visually impaired; assistive technology; navigation;
D O I
10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.69
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The World Health Organization estimates that 285 million people are visually impaired worldwide: 39 million are blind and 246 million have low vision. In order to improve the overall situation without having the user feel encumbered, our Crowd Assisted Navigation app is designed for smartphones (including both iPhones and Android phones), which are by far the most commonly used mobile devices among those with low vision. Many individuals would rather forget their wallets at home than their phones. A smartphone is easily accessible and its use does not attract undue attention towards the user's need of aid for his/her disability. The app's primary objective is to assist a visually impaired or blind user in navigating from point A to point B through reliable directions given from an online community. The phone is able to stream live video to a crowd of sighted users through our website. The crowd is then able to give directions from the website with the push of one of the four arrow keys, indicating either left, right, forward, or stop. The aggregation of these directions will be relayed back to the user by audio.
引用
收藏
页码:324 / 327
页数:4
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