The Cricket location-support system
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Node density independent localization
Proceedings of the 5th international conference on Information processing in sensor networks
The SkyLoc Floor Localization System
PERCOM '07 Proceedings of the Fifth IEEE International Conference on Pervasive Computing and Communications
Spinning beacons for precise indoor localization
Proceedings of the 6th ACM conference on Embedded network sensor systems
User experiences with activity-based navigation on mobile devices
Proceedings of the 12th international conference on Human computer interaction with mobile devices and services
A practical approach to recognizing physical activities
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
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The inclusion of the barometer sensor in smartphones signaled an opportunity for aiding indoor localization efforts. In this paper, we therefore investigate a possible use of the barometer sensor for detecting vertically oriented activities. We start by showing the accuracies of various commodity measurement devices and the challenges they bring forth. We then show how to use the barometer values to build a predictor that can detect floor changes and the mode (elevator, escalator, or stairs) used to change floors with nearly 100% accuracy. We validate these properties with data collected using 3 different measurement devices from 7 different buildings. Our investigation reveals that while the barometer sensor has potential, there is still a lot left to be desired.