Research Article
Fine-Grained Activity Recognition of Pedestrians Travelling by Subway
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@INPROCEEDINGS{10.1007/978-3-319-05452-0_10, author={Marco Maier and Florian Dorfmeister}, title={Fine-Grained Activity Recognition of Pedestrians Travelling by Subway}, proceedings={Mobile Computing, Applications, and Services. 5th International Conference, MobiCASE 2013, Paris, France, November 7-8, 2013, Revised Selected Papers}, proceedings_a={MOBICASE}, year={2014}, month={6}, keywords={Mode of Transport Recognition Mobile Phone Context Awareness Activity Recognition}, doi={10.1007/978-3-319-05452-0_10} }- Marco Maier
Florian Dorfmeister
Year: 2014
Fine-Grained Activity Recognition of Pedestrians Travelling by Subway
MOBICASE
Springer
DOI: 10.1007/978-3-319-05452-0_10
Abstract
With the now widespread usage of increasingly powerful smartphones, pro-active, context-aware, and thereby unobstrusive applications have become possible. A user’s current activity is a primary piece of contextual information, and especially in urban areas, a user’s current mode of transport is an important part of her activity. A lot of research has been conducted on automatically recognizing different means of transport, but up to know, no attempt has been made to perform a fine-grained classification of different activities related to travelling by local public transport.
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