DCU team at the 2019 insight for wellbeing task: multimodal personal health lifelog data analysis
Tu-Khiem, Le, Van-Tu, Ninh, Liting, ZhouORCID: 0000-0002-7778-8743, Dang-Nguyen, Duc-TienORCID: 0000-0002-2761-2213 and Cathal, GurrinORCID: 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.
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.