no code implementations • 29 Jan 2021 • Thomas Johnson, Eiman Kanjo, Kieran Woodward
In this paper, we define the term 'DigitalExposome' as a conceptual framework that takes us closer towards understanding the relationship between environment, personal characteristics, behaviour and wellbeing using multimodel mobile sensing technology.
no code implementations • 20 Nov 2020 • Kieran Woodward, Eiman Kanjo, Athanasios Tsanas
To address this problem, this paper proposes a framework to tackle the limitation in performing emotional state recognition on multiple multimodal datasets: 1) encoding multivariate time series data into coloured images; 2) leveraging pre-trained object recognition models to apply a Transfer Learning (TL) approach using the images from step 1; 3) utilising a 1D Convolutional Neural Network (CNN) to perform emotion classification from physiological data; 4) concatenating the pre-trained TL model with the 1D CNN.
no code implementations • 3 Apr 2020 • Kieran Woodward, Eiman Kanjo, David J. Brown, T. M. McGinnity
Stress is a growing concern in modern society adversely impacting the wider population more than ever before.
no code implementations • 3 Oct 2019 • Kieran Woodward, Eiman Kanjo, Andreas Oikonomou
Labelling is an indispensable stage of data pre-processing that can be particularly challenging, especially when applied to single or multi-model real-time sensor data collection approaches.