Understanding Your History: Multi-dimensional Data Stream Visualization of Personal Lifelogging Data
- Authors
- Hong, Minsung; Jung, 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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Collections - College of Software > School of Computer Science and Engineering > 1. Journal Articles
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