Location-Based Augmented Reality With Pervasive Smartphone Sensors: Inside and Beyond Pokemon Go!

被引：21

作者：

Shea, Ryan ^{[1
]}

Fu, Di ^{[1
]}

Sun, Andy ^{[1
]}

Cai, Chao ^{[2
]}

Ma, Xiaoqiang ^{[2
]}

Fan, Xiaoyi ^{[1
]}

Gong, Wei ^{[1
]}

Liu, Jiangchuan ^{[1
]}

机构：

[1] Simon Fraser Univ, Burnaby, BC V5A 1S6, Canada

[2] Huazhong Univ Sci & Technol, Wuhan 430074, Peoples R China

来源：

IEEE ACCESS | 2017年 / 5卷

基金：

加拿大自然科学与工程研究理事会;

关键词：

Pervasive sensors; cloud computing; augmented reality; video streaming; quality of experience; INDOOR LOCALIZATION;

D O I：

10.1109/ACCESS.2017.2696953

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Combining powerful sensors and near ubiquitous distribution, the smartphone has become an irreplaceable part of modern day life. Using its pervasive sensing capabilities, the smart-phone guides us to our destination with precise step-by-step directions, advises us on what to have for lunch, and improves our photography skills through stabilizing our camera. Using the popular augmented reality (AR) smartphone app Pokemon Go as a case study, we explore the world of pervasive sensing. In this paper, we show both the current state of the art that enable applications such as Pokemon Go to thrive, as well as the limitations and opportunities inherent in current pervasive sensing applications.

引用

页码：9619 / 9631

页数：13

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