MemorySense: Reconstructing and Ranking User Memories on Mobile Devices

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.


Published in:
2014 Ieee International Conference On Pervasive Computing And Communications Workshops (Percom Workshops), 195-198
Presented at:
IEEE International Conference on Pervasive Computing and Communications, Budapest, Hungary, March 24-28, 2014
Year:
2014
Publisher:
New York, Ieee
ISBN:
978-1-4799-2736-4
Laboratories:




 Record created 2014-01-21, last modified 2018-09-13

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