Pedestrian walking safety system based on smartphone built‐in sensors-Reference-Cited by-同舟云学术

Pedestrian walking safety system based on smartphone built‐in sensors

Published:2018-03-28 Issue:6 Volume:12 Page:751-758
ISSN:1751-8628
Container-title:IET Communications
language:en
Short-container-title:IET Communications

Author:

Li Yantao¹²³,Xue Fengtao¹,Fan Xinqi¹,Qu Zehui¹,Zhou Gang²

Affiliation:

1. College of Computer and Information SciencesSouthwest UniversityChongqing400715People's Republic of China

2. Department of Computer ScienceCollege of William and MaryWilliamsburgVA23185USA

3. State Key Laboratory for Novel Software TechnologyNanjing UniversityJiangsu210023People's Republic of China

Funder

National Natural Science Foundation of China

National Science Foundation

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-com.2017.0502

Reference30 articles.

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2. Deep computation model for unsupervised feature learning on big data;Zhang Q.;IEEE Trans. Serv. Comput.,2016

3. Governors Highway Safety Association: ‘Pedestrian traffic fatalities by state: 2015 preliminary data’. Available at:http://www.ghsa.org/files/pubs/spotlights/spotlight_ped2015.pdf accessed 20 November 2016

4. Practicing Safe Text: the Impact of Texting on Walking Behavior

5. PPHOCFS

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