Mining models of human activities from the web
Proceedings of the 13th international conference on World Wide Web
Fine-Grained Activity Recognition by Aggregating Abstract Object Usage
ISWC '05 Proceedings of the Ninth IEEE International Symposium on Wearable Computers
Rapid Prototyping of Activity Recognition Applications
IEEE Pervasive Computing
From Backpacks to Smartphones: Past, Present, and Future of Wearable Computers
IEEE Pervasive Computing
Symbolic object localization through active sampling of acceleration and sound signatures
UbiComp '07 Proceedings of the 9th international conference on Ubiquitous computing
Darwin phones: the evolution of sensing and inference on mobile phones
Proceedings of the 8th international conference on Mobile systems, applications, and services
Recognizing Daily Life Context Using Web-Collected Audio Data
ISWC '12 Proceedings of the 2012 16th Annual International Symposium on Wearable Computers (ISWC)
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This paper investigates a novel approach to obtain location and orientation annotation for smartphones in real-life recordings. We attached RFID tags to places where phones are located in daily life, such as pockets and backpacks. The RFID reader integrated in modern smartphones was used to continuously scan for registered tags. In a first evaluation across several full-day recordings and using nine locations, our approach achieved an accuracy of 80 % when compared to a manual diary. Only 5.3 % of all tags were missed. We conclude that RFID-based location and orientation tagging is a viable option to obtain ground truth reference for real-life activity recognition algorithm developments.