Abstract | ||
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The richness of user-centric information gathered by modern devices can be used to keep track of memorable events, therefore acting as a prosthesis of the prone-to-forget human memory. We propose to combine virtual and physical sensors from mobile devices to infer digital memories of user activities in a semi-supervised fashion. In MemorySense, sensor data is processed by a space and energy efficient algorithm to recognize basic activities. We then use semantic reasoning to aggregate these activities into the digital equivalent of a human episodic memory. |
Year | DOI | Venue |
---|---|---|
2014 | 10.1109/PerComW.2014.6815199 | Pervasive Computing and Communications Workshops |
Keywords | Field | DocType |
inference mechanisms,knowledge based systems,mobile computing,sensor fusion,storage management,MemorySense,human episodic memory,mobile devices,physical sensors,prone-to-forget human memory,semantic reasoning,sensor data,user memories ranking,user memories reconstruction,user-centric information,virtual sensors | Human memory,Episodic memory,Mobile search,Energy efficient algorithms,Ranking,Computer science,Mobile device,Global Positioning System,Multimedia,Mobile telephony | Conference |
ISSN | Citations | PageRank |
2474-2503 | 2 | 0.41 |
References | Authors | |
8 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Karl Aberer | 1 | 6459 | 662.26 |
Michele Catasta | 2 | 449 | 31.64 |
Radu, H. | 3 | 2 | 0.41 |
Ranvier, J.-E. | 4 | 2 | 0.41 |