Metadata only
Date
2017-09Type
- Conference Paper
Abstract
Monitoring the bicycle safety is of great importance. The
current methods either require specific hardware supports
or are expensive to implement. In this paper, we propose
BikeSafe, a smartphone-based system to track bicyclist
movements and alarm their dangerous riding behaviors
in real time. Preliminary experiments over 12 participants
show that the overall detection accuracy of BikeSafe on riding
behavior achieves 86.8%, and that of the illegal way riding
reaches around 90%, satisfying the practical operation
in daily usage. Show more
Publication status
publishedExternal links
Book title
UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable ComputersPages / Article No.
Publisher
Association for Computing MachineryEvent
Organisational unit
03429 - Thiele, Lothar (emeritus) / Thiele, Lothar (emeritus)
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