Aberer, KarlCatasta, MicheleRadu, HoriaRanvier, Jean-Eudes MarieVasirani, MatteoYan, Zhixian2014-01-212014-01-212014-01-21201410.1109/PerComW.2014.6815199https://infoscience.epfl.ch/handle/20.500.14299/100033WOS:000341402900043The 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.MemorySense: Reconstructing and Ranking User Memories on Mobile Devicestext::conference output::conference proceedings::conference paper