@InProceedings{10.1007/978-3-319-29003-4_15,
author="Prentow, Thor Siiger
and Blunck, Henrik
and Kj{\ae}rgaard, Mikkel Baun
and Stisen, Allan",
editor="Sigg, Stephan
and Nurmi, Petteri
and Salim, Flora",
title="Towards Indoor Transportation Mode Detection Using Mobile Sensing",
booktitle="Mobile Computing, Applications, and Services",
year="2015",
publisher="Springer International Publishing",
address="Cham",
pages="259--279",
abstract="Transportation mode detection (TMD) is a growing field of research, in which a variety of methods have been developed, foremost for outdoor travels. It has been employed in application areas such as public transportation and environmental footprint profiling. For indoor travels the problem of TMD has received comparatively little attention, even though diverse transportation modes, such as biking and electric vehicles, are used indoors. The potential applications are diverse, and include scheduling and progress tracking for mobile workers, and management of vehicular resources. However, for indoor TMD, the physical environment as well as the availability and reliability of sensing resources differ drastically from outdoor scenarios. Therefore, many of the methods developed for outdoor TMD cannot be easily and reliably applied indoors.",
isbn="978-3-319-29003-4"
}