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» Using mobile phones to determine transportation modes
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MHCI
2004
Springer
13 years 10 months ago
Mobile Context Aware Systems: The Intelligence to Support Tasks and Effectively Utilise Resources
: The complex usage of mobile devices coupled with their limited resources in terms of display and processing suggests that being able to understand the context of the user would b...
Russell Beale, Peter Lonsdale
MOBISYS
2009
ACM
14 years 5 months ago
PEIR, the personal environmental impact report, as a platform for participatory sensing systems research
PEIR, the Personal Environmental Impact Report, is a participatory sensing application that uses location data sampled from everyday mobile phones to calculate personalized estima...
Min Mun, Sasank Reddy, Katie Shilton, Nathan Yau, ...
CHI
2009
ACM
14 years 5 months ago
UbiGreen: investigating a mobile tool for tracking and supporting green transportation habits
The greatest contributor of CO2 emissions in the average American household is personal transportation. Because transportation is inherently a mobile activity, mobile devices are ...
Jon Froehlich, Tawanna Dillahunt, Predrag V. Klasn...
WWW
2008
ACM
14 years 6 months ago
Learning transportation mode from raw gps data for geographic applications on the web
Geographic information has spawned many novel Web applications where global positioning system (GPS) plays important roles in bridging the applications and end users. Learning kno...
Yu Zheng, Like Liu, Longhao Wang, Xing Xie
HUC
2010
Springer
13 years 3 months ago
Vehicular speed estimation using received signal strength from mobile phones
This paper introduces an algorithm that estimates the speed of a mobile phone by matching time-series signal strength data to a known signal strength trace from the same road. Kno...
Gayathri Chandrasekaran, Tam Vu, Alexander Varshav...