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Understanding Your History: Multi-dimensional Data Stream Visualization of Personal Lifelogging Data

Authors
Hong, MinsungJung, Jason J.
Issue Date
Aug-2017
Publisher
IEEE
Keywords
Time-series data mining; multi-dimensional data; personal lifelogging; visualization; user interface
Citation
2017 13TH INTERNATIONAL CONFERENCE ON INTELLIGENT ENVIRONMENTS (IE 2017), v.2017-January, pp 164 - 167
Pages
4
Journal Title
2017 13TH INTERNATIONAL CONFERENCE ON INTELLIGENT ENVIRONMENTS (IE 2017)
Volume
2017-January
Start Page
164
End Page
167
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/56538
DOI
10.1109/IE.2017.13
ISSN
2469-8792
Abstract
A large amount of time-series data has been frequently used to extract the useful patterns and trends and to visualize them for better understanding. This work is focusing on visualizing personal lifelogging data for tracking back to personal histories. Thereby, we present several similarity measures between multi-dimensional data at two different time points. For human evaluation, the method has been applied to My Movie History (which a social recommendation system by storing personal movie logs) and tested with a number of users.
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Jung, Jason J.
소프트웨어대학 (소프트웨어학부)
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