Year: 2014
Type: article
Abstract: The profusion of sensors embedded in modern mobile devices collect an increasing amount of information about the activities performed by a user.Leveraging the episodic memory model defined by neuroscientists, Memo-it exploits this information to create a multi-scale structured representation of the user's activities in a semi-automated fashion, while preserving the privacy of the user's data.In addition to building a digital diary of the user, the semantic approach taken by Memo-it is able to answer multi-dimensional queries, and to enable the inter-operability of memories between users.
Authors: Aberer, Karl, Catasta, Michele, Christodoulou, Georgios, Gavrilovic, Ivan, Hrisafov, Filip, Monney, Mathieu, Ouaazki, Abdessalam, Perovic, Boris, Radu, Horia, Ranvier, Jean-Eudes Marie, Vasirani, Matteo, Yan, Zhixian
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: Samsung
OpenAlex ID: W7002184056