Dear reader, welcome to our fourth and final WideHealth newsletter! We are excited to share the culmination of our project’s achievements. Inside, you will find an overview of our project activities, key outcomes, and results. Our training courses, seminar recordings, and research publications are all accessible for free, reflecting our commitment to sharing knowledge. As we conclude this project, we would like to extend our gratitude to everyone who has contributed, supported, and engaged with WideHealth. Your dedication has been instrumental in making this project a success, and we are confident that the impact of our collective efforts.

WideHealth Thematic Schools

The project successfully organized three thematic schools, with the primary aim of enhancing the knowledge and technical competencies of undergraduate and graduate students in the domain of pervasive health. The initial school encompassed a broad overview of e-Health and Pervasive Technologies, followed by the second school concentrating on Human Factors in Pervasive Health. The concluding school revolved around the theme of Trustworthy AI, placing a special emphasis on federated learning. For further details on these schools, click on the images below.

WideHealth Training Materials

Leveraging the training materials developed throughout the project’s duration, we successfully launched the WideHealth training repository. This repository comprises four distinct thematic courses, each delving into the specific project research topics. These courses include “Data Analytics and Pervasive Health,” “Machine Learning for Human Activity Recognition with Wearables,” “Human Factors in Pervasive Health,” and “Trustworthy AI”. Click on the images below to access these courses. Furthermore, specialized training materials centered around research management and administration were made accessible through a dedicated page on the project’s website.

Conferences and Workshops

The project partners jointly organized five project events at international conferences, out of which three workshops held at international conferences, one dedicated conference, and a special session. Beyond their organizational role, these events served as pivotal platforms for the widespread dissemination of partners’ endeavors, with a specific focus on showcasing the ongoing and developed research work within the project. For comprehensive details regarding these events, please click on the images below.

WideHealth Seminar Series

The WideHealth project offered lectures and seminars covering specific research domains, including data-driven healthcare, human factors in pervasive health, and federated machine learning. These activities encompassed both in-house seminars for internal stakeholders and public seminars addressing e-health topics. The project effectively disseminated a total of 18 public seminars over its duration. The seminar videos are available on YouTube and can be accessed through the provided links.

Neuroscience-based interaction | 12/06/2023
Stress prediction: Is it really that simple? | 19/05/2023
Federated Learning for Activity Recognition: A System Level Perspective | 09/05/2023
Zgli: A Pipeline for Clustering by Compression with Application to Patient Stratification in Spondyloarthritis | 04/04/2023
Federated Learning for Anomaly Detection in IoT Networks | 21/02/2023
Vital Signs as source of racial bias | 02/02/2023
Automating the Generation of Dialogue Managers for Healthcare | 28/06/2022
StudyU: A platform for conducting digital N-of-1 trials that link personalized medicine and population health research | 31/05/2022
Digital biomarkers for chronic diseases: Lessons learned | 17/05/2022
Democratising Healthcare Technologies: Wearables to cue for drooling in Parkinson’s Disease | 26/04/2022
Knowledge Science for trust in AI-based biomedical and clinical applications | 26/04/2022
Activity recognition with a few twists: Experiences from SHL Challenges 2019 and 2020 | 11/01/2022
DataPark: Reflections from a Longitudinal Deployment of a Digital Platform for PD Monitoring | 19/10/2021
Wearable Computing and its Machine-Learning Applications | 14/09/2021
Predicting deterioration of critically ill patients | 22/06/2021
IMU-Based Trajectory Image Classification for Human Activity Recognition | 01/06/2021
WildKey: A Privacy-Aware Keyboard Toolkit for In-The-Wild Data Collection | 18/05/2021
XPrize Pandemic Response Challenge | 04/05/2021

Open Access Publications

Over the span of the project, the WideHealth partners (co-)authored a total of 30 research papers concentrating on selected pervasive health topics, with 20 of these being joint efforts. All these papers are readily accessible for open access. To access and download these publications, please click on the provided links.

Overcoming Data Scarcity in Human Activity Recognition
IEEE EMBC 2023 | July 2023 |
Federated Learning for Activity Recognition: A System Level Perspective
IEEE Access, Vol. 11 | June 2023 |
Resource Allocation of NOMA Communication Systems for Federated Learning
IEEE Communications Letters, Vol. 27, No. 8 | June 2023 |
Prediction of Hospital Readmission using Federated Learning
IWSSIP 2023 | June 2023 |
Smart Glasses for Gait Analysis of Parkinson’s Disease Patients
MIPRO 2023 | June 2023 |
Recognizing Activities of Daily Living using Multi-sensor Smart Glasses
MIPRO 2023 | June 2023 |
Federated Learning for Network Intrusion Detection in Ambient Assisted Living Environments
IEEE Internet Computing, Vol. 27, No. 4 | April 2023 |
OCOsense Glasses – Monitoring Facial Gestures and Expressions for Augmented Human-Computer Interaction: OCOsense Glasses for Monitoring Facial Gestures and Expressions
CHI EA 2023 | April 2023 |
A Survey of Bias in Healthcare: Pitfalls of Using Biased Datasets and Applications
CSOC 2023 | April 2023 |
Human Activity Recognition with Wearables using Federated Learning
ICAIIT 2023 | March 2023 |
Virtual Reality for Health and Wellbeing
MUM 2022 | November 2022 |
Using Virtual Reality to elicit Empathy: a narrative review
MUM 2022 | November 2022 |
Facial Expression Recognition using Facial Mask with EMG Sensors
MUM 2022 | November 2022 |
Using VR and Sensors for Anxiety with Children and Adolescents
MUM 2022 | November 2022 |
Food Frequency Questionnaire Personalisation Using Multi-Target Regression
Nutrients, Vol 14, No. 19 | October 2022 |
Facial EMG Sensing for Monitoring Affect Using a Wearable Device
Nature Scientific Records, Vol. 12 | October 2022 |
Android Integration of a Machine Learning Pipeline for Human Activity Recognition
Pervasive Health and Smart Sensing Conference at IS'22 | October 2022 |
Network Anomaly Detection using Federated Learning for the Internet of Things
Pervasive Health and Smart Sensing Conference at IS'22 | October 2022 |
Speaking Recognition with Facial EMG Sensors
Pervasive Health and Smart Sensing Conference at IS'22 | October 2022 |
Machine-learning models for MDS-UPDRS III Prediction: A comparative study of features, models, and data sources
Pervasive Health and Smart Sensing Conference at IS'22 | October 2022 |
Personalised Gait Recognition for People with Neurological Conditions
MDPI Sensors, Vol. 22, No. 11 | May 2022 |
What Actually Works for Activity Recognition in Scenarios with Significant Domain Shift: Lessons Learned from the 2019 and 2020 Sussex-Huawei Challenges
MDPI Sensors, Vol. 22, No. 10 | May 2022 |
Breathing Rate Estimation from Head-Worn Photoplethysmography Sensor Data Using Machine Learning
MDPI Sensors, Vol. 22, No. 6 | March 2022 |
Differentially Private Federated Learning for Anomaly Detection in eHealth Networks
Ubicomp 2021 | September 2021 |
Wild by Design: Workshop on Designing Ubiquitous Health Monitoring Technologies for Challenging Environments
Ubicomp 2021 | September 2021 |
Machine Learning based Anomaly Detection in Ambient Assisted Living Environments
ETAI 2021 | September 2021 |
Investigating Presence of Ethnoracial Bias in Clinical Data using Machine Learning
ETAI 2021 | September 2021 |
Analysis of Deep Transfer Learning Using DeepConvLSTM for Human Activity Recognition from Wearable Sensors
Informatica, Vol 45, No 2 | July 2021 |
Cognitive Load Monitoring with Wearables - Lessons Learned from a Machine Learning Challenge
IEEE Access, Vol 9 | June 2021 |
Smartwatch-Based Eating Detection: Data Selection for Machine Learning from Imbalanced Data with Imperfect Labels
MDPI Sensors, Vol 21, No 5 | March 2021 |

Project Online Presence

Make sure to check out our diverse communication channels where you can discover interesting eHealth and pervasive health content, ranging from informative articles and engaging videos to project events, open access publications, and much more.