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DCU team at the 2019 insight for wellbeing task: multimodal personal health lifelog data analysis

Tu-Khiem, Le, Van-Tu, Ninh, Liting, Zhou orcid logoORCID: 0000-0002-7778-8743, Dang-Nguyen, Duc-Tien orcid logoORCID: 0000-0002-2761-2213 and Cathal, Gurrin orcid logoORCID: 0000-0003-4395-7702 (2019) DCU team at the 2019 insight for wellbeing task: multimodal personal health lifelog data analysis. In: MediaEval 2019 (MediaEval Benchmarking Initiative for Multimedia Evaluation), 27-29 Oct 2019, Sophia Antipolis, France.

Abstract
In this paper, the authors described their proposed method in analyzing lifelog data in association with the environment. Tackling the problem of incomplete data, we proposed a replacement method using linear regression method which results in a normalized L2 distance score of 0.0153. Meanwhile, the authors solved the personal air quality subtask by inferring from lifeloggers’ PM2.5 data, which achieves 1.0 in the arithmetic mean of absolute distance score between the predictions and the actual classes.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Subjects:Computer Science > Lifelog
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > INSIGHT Centre for Data Analytics
Published in: Working Notes Proceedings of the MediaEval 2019 Workshop. CEUR Workshop Proceedings 1(2670). CEUR-WS.
Publisher:CEUR-WS
Official URL:http://ceur-ws.org/Vol-2670/MediaEval_19_paper_38....
Copyright Information:© 2019 The Authors
Funders:Irish Research Council (IRC) under Grant Number GOIPG/2016/741, Science Foundation Ireland under grant numbers SFI/12/RC/2289 and 13/RC/2106.
ID Code:23949
Deposited On:25 Nov 2019 14:56 by Tu-Khiem Le . Last Modified 23 Feb 2021 13:24
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