Pil Ho Kim
ABSTRACT
Lifelogging is a complex application domain of multimedia management. This makes it challenging for people to keep their personal lifelogs under their control. Our work aims to provide people with an open platform, named eLifeLog, that would work in user's private cloud to start archiving their valuable memories and experiences under the hood. eLifeLog has a number of distinct features that differentiate it from legacy CMS (Content Management System) products or related works: (1) It is specialized for personal lifelogging, (2) it embeds an event-based unified data representation to handle heterogenous timestamped streams, and (3) it is open to the public with the complete source code for personal use and for accelerating lifelogging research collaboration.
- Belimpasakis, P., Roimela, K., and You, Y. Experience Explorer: A Life-Logging Platform Based on Mobile Context Collection. In 2009 Third International Conference on Next Generation Mobile Applications, Services and Technologies (Sept. 2009), 77--82. Google Scholar
Digital Library
- Bush, V. As we may think. Atlantic Monthly 176, 1 (1964), 101--108.Google Scholar
- Choudhury, T., and Philipose, M. Towards activity databases: Using sensors and statistical models to summarize people's lives. IEEE Bulletin of the Technical Committee on Data Engineering 29, 1 (2006), 49--56.Google Scholar
- et al. Rakthanmanon, T. Searching and mining trillions of time series subsequences under dynamic time warping. In Proceedings of the 18th ACM KDD (Aug. 2012), 262--270. Google ScholarDigital Library
- Kalal, Z., Mikolajczyk, K., and Matas, J. Tracking-Learning-Detection. IEEE transactions on pattern analysis and machine intelligence 34, 7 (Dec. 2012), 1409--1422. Google ScholarDigital Library
- Kim, P. H. E-model: event-based graph data model theory and implementation. PhD thesis, Georgia Institute of Technology, Atlanta, Georgia, USA, 2009.Google Scholar
- Kim, P. H., and Giunchiglia, F. Lifelog Event Management: Crowd Research Case Study. In Proceedings of the Joint ACM Workshop on Modeling and Representing Events, ACM (2011), 43--48. Google ScholarDigital Library
- Kim, P. H., and Giunchiglia, F. Life logging practice for human behavior modeling. In 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE (Oct. 2012), 2873--2878.Google ScholarCross Ref
- Kim, P. H., and Giunchiglia, F. Lifelog Data Model and Management: Study on Research Challenges. International Journal of Computer Information Systems and Industrial Management 5 (2013), 115--125.Google Scholar
- Rawassizadeh, R., Tomitsch, M., Wac, K., and Tjoa, A. M. UbiqLog: a generic mobile phone-based life-log framework. Personal and Ubiquitous Computing (Apr. 2012). Google ScholarDigital Library
- Sellen, A. J., and Whittaker, S. Beyond total capture: a constructive critique of lifelogging. Communications of the ACM 53, 5 (2010), 70--77. Google ScholarDigital Library
Index Terms
- The open platform for personal lifelogging: the eLifeLog architecture
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