Performance of optical flow techniques
International Journal of Computer Vision
Vision for Mobile Robot Navigation: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Activity and Location Recognition Using Wearable Sensors
IEEE Pervasive Computing
WearNET: A Distributed Multi-sensor System for Context Aware Wearables
UbiComp '02 Proceedings of the 4th international conference on Ubiquitous Computing
Developing a location based tourist guide application
ACSW Frontiers '03 Proceedings of the Australasian information security workshop conference on ACSW frontiers 2003 - Volume 21
Using GPS to learn significant locations and predict movement across multiple users
Personal and Ubiquitous Computing
Personal Position Measurement Using Dead Reckoning
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
Practical robust localization over large-scale 802.11 wireless networks
Proceedings of the 10th annual international conference on Mobile computing and networking
Architecture and applications of the FingerMouse: a smart stereo camera for wearable computing HCI
Personal and Ubiquitous Computing - Special Issue: Selected Papers of the ARCS06 Conference
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
A wearable interface for topological mapping and localization in indoor environments
LoCA'06 Proceedings of the Second international conference on Location- and Context-Awareness
Place lab: device positioning using radio beacons in the wild
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Accurate GSM indoor localization
UbiComp'05 Proceedings of the 7th international conference on Ubiquitous Computing
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We introduce, characterize and test a vision-based dead-reckoning system for wearable computing that allows to track the user's trajectory in an unknown and non-instrumented environment by integrating the optical flow. Only a single inexpensive camera worn on the body is required, which may be reused for other purposes such as HCI. Result show that distance estimates are accurate (6-12%) while rotation tends to be underestimated. The accumulation of errors is compensated by identifying previously visited locations and "closing the loop"; it results in greatly enhanced accuracy. Opportunistic use of wireless signatures is used to identify similar locations. No a-priori knowledge of the environment such as map is needed, therefore the system is well-suited for wearable computing. We identify the limitations of this approach and suggest future improvements.