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Multimodal personal health lifelog data analysis

Authors: 

Tu-Khiem Le, Van-Tu Ninh, Liting Zhou, Duc-Tien Dang-Nguyen, Cathal Gurrin

Publication Type: 
Refereed Conference Meeting Proceeding
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.
Conference Name: 
MediaEval 2019
Digital Object Identifer (DOI): 
10.23949
Publication Date: 
27/10/2019
Conference Location: 
France
Research Group: 
Institution: 
Dublin City University (DCU)
Open access repository: 
No