Memo-it: don't write your diary, sense it
Authors: 
Karl Aberer, Michele Catasta, Georgios Christodoulou, Ivan Gavrilovic, Filip Hrisafov, Mathieu Monney, Abdessalam Ouaazki, Boris Perovic, Horia Radu, Jean-Eudes Ranvier, Matteo Vasirani, Zhixian YanAuthors Info & Claims
Pages 203 - 206
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.
References
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- Memo-it: don't write your diary, sense it
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Information
Published In
September 2014
1409 pages
ISBN:9781450330473
DOI:10.1145/2638728
- General Chairs:
- AJ Brush,
- Adrian Friday,
- Program Chairs:
- Julie Kientz,
- James Scott,
- Junehwa Song
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Association for Computing Machinery
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Published: 13 September 2014
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UbiComp '14: The 2014 ACM Conference on Ubiquitous Computing
September 13 - 17, 2014
Washington, Seattle
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