252 citations · 291 across the 7 of their papers we have counts for
7 papers
Adversarial Unsupervised Representation Learning for Activity Time-Series
Karan Aggarwal, Shafiq Joty, Luis Fernandez-Luque +1
Sufficient physical activity and restful sleep play a major role in the prevention and cure of many chronic conditions. Being able to proactively screen and monitor such chronic co…
Co-Morbidity Exploration on Wearables Activity Data Using Unsupervised Pre-training and Multi-Task Learning
Karan Aggarwal, Shafiq Joty, Luis F. Luque +1
Physical activity and sleep play a major role in the prevention and management of many chronic conditions. It is not a trivial task to understand their impact on chronic conditions…
The Design of a Mobile App for Promotion of Physical Activity and Self-Management in Prostate Cancer Survivors: Personas, Feature Ideation and Low-Fidelity Prototyping
Francisco Monteiro-Guerra, Octavio Rivera-Romero, Vasiliki Mylonopoulou +3
Most prostate cancer survivors are confronted with disease-related and treatment-related side effects that impact their quality of life. A tool that combines specific physical acti…
Visualization of Wearable Data and Biometrics for Analysis and Recommendations in Childhood Obesity
Michael Aupetit, Luis Fernandez-Luque, Meghna Singh +1
Obesity is one of the major health risk factors be- hind the rise of non-communicable conditions. Understanding the factors influencing obesity is very complex since there are many…
Design of two combined health recommender systems for tailoring messages in a smoking cessation app
Santiago Hors-Fraile, Francisco J Núñez Benjumea, Laura Carrasco Hernández +2
In this article, we describe the design of two recommender systems (RS) designed to support the smoking cessation process through a mobile application. We plan to use a hybrid RS (…
Impact of Physical Activity on Sleep:A Deep Learning Based Exploration
Aarti Sathyanarayana, Shafiq Joty, Luis Fernandez-Luque +5
The importance of sleep is paramount for maintaining physical, emotional and mental wellbeing. Though the relationship between sleep and physical activity is known to be important,…
Robust Automated Human Activity Recognition and its Application to Sleep Research
Aarti Sathyanarayana, Ferda Ofli, Luis Fernandes-Luque +4
Human Activity Recognition (HAR) is a powerful tool for understanding human behaviour. Applying HAR to wearable sensors can provide new insights by enriching the feature set in hea…