CrowdWatch: Pedestrian safety assistance with mobile crowd sensing

UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Volumn , Issue , 2016, Pages 217-220

  Wang, Qianru ^a   Guo, Bin ^a   Peng, Ge ^b   Zhou, Gang ^b   Yu, Zhiwen ^a  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

^b Dept of Economics and Thomas Jefferson Program in Public Policy at the College of William and Mary   (United States)

Author keywords

Crowd Mobility Patterns; Mobile Applications; Mobile Crowd Sensing; Obstacle; Pedestrian Safety

Indexed keywords

PEDESTRIAN SAFETY; SMARTPHONES; UBIQUITOUS COMPUTING;

CONTEXT-AWARE; MOBILE APPLICATIONS; MOBILE CROWD SENSING; MOBILITY PATTERN; OBSTACLE; SENSING FIELDS; SMARTPHONE SENSING; TRAFFIC LIGHT;

BEHAVIORAL RESEARCH;

EID: 84991098163     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2968219.2971433     Document Type: Conference Paper

References (4)

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2. Lu H., Pan W., Lane N. D., Choudhury T., and Campbell A. T. 2009. SoundSense: Scalable Sound Sensing for People-Centric Applications on Mobile Phones. In Proc. of ACM MobiSys 09, 165-178.
3. Wen J., Cao J., and Liu X. 2015. We help you watch your steps: Unobtrusive alertness system for pedestrian mobile phone users. In Proc. of IEEE PerCom 15, 105-113.
4. You C., Lane N. D., Chen F., Wang R., Chen Z., Bao T. J., Montes-de-Oca M, Cheng Y., Lin M., Torresani L., and Campbell A. T. 2013. CarSafe app: Alerting drowsy and distracted drivers using dual cameras on smartphones. In Proc. of ACM MobiSys 13, 13-26.