Relevance score normalization for metasearch
Proceedings of the tenth international conference on Information and knowledge management
Key factors for personal health monitoring and diagnosis device
Mobile Computing in Medicine, Second Conference on Mobile Computing in Medicine, Workshop of the Project Group MoCoMed, GMDS-Fachbereich Medizinische Informatik & GI-Fachausschuss 4.7
HealthGear: A Real-time Wearable System for Monitoring and Analyzing Physiological Signals
BSN '06 Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks
Pacemakers and Implantable Cardiac Defibrillators: Software Radio Attacks and Zero-Power Defenses
SP '08 Proceedings of the 2008 IEEE Symposium on Security and Privacy
Combining image descriptors to effectively retrieve events from visual lifelogs
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Wireless sensor networks for personal health monitoring: Issues and an implementation
Computer Communications
SenseCam: a retrospective memory aid
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
IEEE Transactions on Information Technology in Biomedicine
A wireless PDA-based physiological monitoring system for patient transport
IEEE Transactions on Information Technology in Biomedicine
IEEE Transactions on Information Technology in Biomedicine
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In today's healthcare world where we react to conditions that have already developed, lifelogging technologies may offer a glimpse into a future world of proactive healthcare where symptoms of conditions are detected at much earlier stages. At the end of last year it was estimated that there were 4 billion cell phones in the world, in comparison to just over 1 billon PCs. In this paper we discuss a framework, which leverages the ubiquity of the cell phone, to aggregate data from multiple wearable biological sensors. This physiological lifelogged data can then be queried via an interface which utilises contextual memory retrieval cues to assist people remember what type of activity they were doing at a particular time. This may be helpful in the diagnosis of potential medical conditions or encourage wellness behaviours.