“Body coupled FingerRing”: wireless wearable keyboard
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
AMON: A Wearable Medical Computer for High Risk Patients
ISWC '02 Proceedings of the 6th IEEE International Symposium on Wearable Computers
Iconic Memory-Based Omnidirectional Route Panorama Navigation
IEEE Transactions on Pattern Analysis and Machine Intelligence
ISWC '04 Proceedings of the Eighth International Symposium on Wearable Computers
Hi-index | 0.00 |
Self-location capability is a very useful and informative attribute for wearable systems. This paper proposes a method for identifying a user's location from an omnidirectional image sensor, a GPS data source and wireless LAN data. Azimuth-invariant features are extracted from an omnidirectional image by integrating pixel information circumferentially, thus enabling a user to independently recognize his/her location from the omnidirectional image feature, the GPS data and the wireless LAN data projected into a sub-space made from the learning data. We show the effectiveness of our method by experimental results in real data.