Visualizing Personal Lifelog Data for Deeper Insights at the NTCIR-13 Lifelog-2 Task

Visualizing Personal Lifelog Data for Deeper Insights at the NTCIR-13 Lifelog-2 Task
Title:
Visualizing Personal Lifelog Data for Deeper Insights at the NTCIR-13 Lifelog-2 Task
Other Titles:
The 13th NTCIR Conference on Evaluation of Information Access Technologies
DOI:
Publication Date:
08 December 2017
Citation:
Abstract:
We present a method for finding insights from personal lifelogs. First, we create minute-wise annotation of the users’ activities with respect to the given topics (e.g. socialize, exercise, etc.). This is achieved by performing image retrieval using deep learning, followed by the fusion of multi-modality sensory data. Second, we generate insights of users’ activities that include facts of activity occurrence, temporal and spatial patterns, associations among multiple activities, etc. Finally, we build a prototype mobile app to visualize the insights according to selected themes. We discuss challenges in the process, and opportunities for research and applications in lifelog information access.
License type:
PublisherCopyrights
Funding Info:
Singapore A*STAR JCO REVIVE Project (1335h0009)
Description:
ISBN:

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