Widening Research on Pervasive and eHealth - WideHealth | WideHealth | Projet | Résultats | H2020 | CORDIS

Livrables

Deliverables D32 D33 D34 and D35 will provide the training materials that will be used during the events This WP will contribute to D22 and D24 MidTerm and Final Reports on Training by describing each partners contribution and participation and will be accompanied by presentations andor videos of such events

Ethics & Data management requirements / legal framework course material

Deliverables D32 D33 D34 and D35 will provide the training materials that will be used during the events This WP will contribute to D22 and D24 MidTerm and Final Reports on Training by describing each partners contribution and participation and will be accompanied by presentations andor videos of such events

Plan on output production

The deliverable will provide a summary of the ongoing activities that has led andor will lead to the production of outputs and the foreseen plan for the rest of the project

Project Management Handbook

The Handbook will define the coordination of the project the project structure and all the necessary information and guidance to ensure that all costs are incurred respecting H2020 rules and provisions

UKIM publications in high impact journals in the WideHealth research fields

The deliverable taken by the Guidance document provided by the EC will be a onepage statement that the task has been completed

Final Report on Outputs produced

The deliverable will include details about the outcome of the exchanges in terms of the scientific findings joint publications joint EU proposals generated IPR joint PhD supervision and in general joint research results In addition this deliverable will include the final KPI on the evolution of the publications in high impact journals in the research fields of the WideHealth project see D51

Final Report on Events Organisation

Similarly the last report will list all the events carried out in WideHealth and provide an overview of what was accomplished in each event detailing participants activities and outcomes

Mid-term report on research management and administration training

This deliverable will provide a summary of the material produced for the training in WP3 and of the status of the training delivered

Mid-term report on early stage researchers and researchers training activities

This deliverable will provide an overview of the activities delivered for early stage researcher and researchers within month 12 and a plan for the activities planned for the next months of the project

Training report

This report will list all the training activities carried out in WideHealth in WP2 and WP3 as well as their evaluation and lessons learned to guide future activities of the partners and third parties as the report will be public

Report on Events Organisation

This report will list all the events carried out in WideHealth up until the first year of project duration and provide an overview of what was accomplished in each detailing participants activities and outcomes The report will provide us with key insights to improve upon the remaining events

EU Project Administration and Financial management course material

Deliverables D32 D33 D34 and D35 will provide the training materials that will be used during the events This WP will contribute to D22 and D24 MidTerm and Final Reports on Training by describing each partners contribution and participation and will be accompanied by presentations andor videos of such events

Research Management and Administration course material

Deliverables D32 D33 D34 and D35 will provide the training materials that will be used during the events This WP will contribute to D22 and D24 MidTerm and Final Reports on Training by describing each partners contribution and participation and will be accompanied by presentations andor videos of such events

Training materials

These will be slides and practical problems for classical training as well as electronic materials for remote learning

Dissemination and Communication Plan

The plan will describe the policy and strategy for dissemination will include details about disseminating how to whom and with which results about social media visibility press and media knowledge transfer and so on A Dissemination Matrix will also be developed to record all dissemination activities of the partners It will include an annex with details about exploitation of results after the end of the project from dissemination point of view making sure that the impacts will last long after the twinning action is over

Data Management Plan

This deliverable was included as WideHealth takes part into the Pilot on Open Research Data It will define the plan for managing the data generated during the project thus it will include 1 what type of data will be used and how it will be processed 2 how research data will be managed curated and preserved during and after the project considering the nature of such data 3 whether data will be exploited made accessible for verification and reuse The deliverable will be updated to report the status of data management during projects implementation

Publications

Facial Expression Recognition using Facial Mask with EMG Sensors

Auteurs: I. Kiprijanovska, B. Sazdov, M. Majstoroski, S. Stankoski, M. Gjoreski, C. Nduka and H. Gjoreski
Publié dans: Proceedings of VR4Health - Workshop on Virtual Reality for Health and Wellbeing co-located with 21st International Conference on Mobile and Ubiquitous Multimedia (MUM 2022), Numéro Vol-3425, 2022, ISSN 1613-0073
Éditeur: CEUR Workshop Proceedings

Human Activity Recognition with Wearables using Federated Learning

Auteurs: B. Jovanovski, S. Kalabakov, D. Denkovski, V. Rakovic, B. Pfitzner, O. Konak, B. Arnrich and H. Gjoreski
Publié dans: Proceedings of the 11th International Conference on Applied Innovations in IT (ICAIIT), Numéro 11(1), 2023, Page(s) 119-125
Éditeur: Digitale Hochschulbibliothek Sachsen-Anhalt
DOI: 10.25673/101927

Network Anomaly Detection using Federated Learning for the Internet of Things

Auteurs: A. Cholakoska, B. Jakimovski, B. Pfitzner, H. Gjoreski, B. Arnrich, M. Kalendar and D. Efnusheva
Publié dans: Pervasive Health and Smart Sensing Conference at the Information Society Multiconference 2022, Numéro Volume H, 2022, Page(s) 52-55, ISBN 978-961-264-247-1
Éditeur: Institut Jožef Stefan

Recognizing Activities of Daily Living using Multi-sensor Smart Glasses

Auteurs: S. Stankoski, B. Sazdov, J. Broulidakis, I. Kiprijanovska, B. Sofronievski, S. Cox, M. Gjoreski , J. Archer, C. Nduka, and H. Gjoreski
Publié dans: 2023 46th MIPRO ICT and Electronics Convention (MIPRO), 2023, ISBN 978-953-233-104-2
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.23919/mipro57284.2023.10159701

Virtual Reality for Health and Wellbeing

Auteurs: Filipa Ferreira-Brito; Hristijan Gjoreski; Oscar Mayora; Mitja Luštrek; Emilija Kizhevska; João Guerreiro; Kathrin Gerling; Sergi Bermúdez i Badia; Tiago Guerreiro
Publié dans: MUM '22: Proceedings of the 21st International Conference on Mobile and Ubiquitous Multimedia, 2022, Page(s) 301–303, ISBN 9781450398206
Éditeur: ACM
DOI: 10.1145/3568444.3568560

Context-Aware Stress Detection in the AWARE Framework

Auteurs: Marija Trajanoska, Hristijan Gjoreski, Marko Katrasnik, Junos Lukan, Martin Gjoreski, Mitja Lustrek
Publié dans: 21th international multiconference Information Society - IS 2018, 2018
Éditeur: International multiconference Information Society, Jozef Stefan Institute, Slovenia

Wild by Design: Workshop on Designing Ubiquitous Health Monitoring Technologies for Challenging Environments

Auteurs: Diogo Branco; Patrick Carrington; Silvia Del Din; Afsaneh Doryab; Hristijan Gjoreski; Tiago Guerreiro; Roisin McNaney; Kyle Montague; Alisha Pradhan; André Rodrigues; Julio Vega
Publié dans: UbiComp/ISWC '21 Adjunct: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers, 2021, Page(s) 508–510, ISBN 9781450384612
Éditeur: ACM
DOI: 10.1145/3460418.3479271

Lung cancer medical image recognition using Deep Neural Networks

Auteurs: Goran Jakimovski, Danco Davcev
Publié dans: 2018 Thirteenth International Conference on Digital Information Management (ICDIM), 2018, Page(s) 1-5, ISBN 978-1-5386-5244-2
Éditeur: IEEE
DOI: 10.1109/icdim.2018.8847136

Machine-learning models for MDS-UPDRS III Prediction: A comparative study of features, models, and data sources

Auteurs: V. Lobo, D. Branco, T. Guerreiro, R. Bouça-Machado, J. Ferreira and the CNS Physiotherapy Study Group
Publié dans: Pervasive Health and Smart Sensing Conference at the Information Society Multiconference 2022, Numéro Volume H, 2022, Page(s) 19-22, ISBN 978-961-264-247-1
Éditeur: Institut Jožef Stefan

Using VR and Sensors for Anxiety with Children and Adolescents

Auteurs: J. Ferreira, F. Brito, J. Guerreiro and T. Guerreiro
Publié dans: Proceedings of VR4Health - Workshop on Virtual Reality for Health and Wellbeing co-located with 21st International Conference on Mobile and Ubiquitous Multimedia (MUM 2022), Numéro Vol-3425, 2022, ISSN 1613-0073
Éditeur: CEUR Workshop Proceedings

Investigating Presence of Ethnoracial Bias in Clinical Data using Machine Learning

Auteurs: Bojana Velichkovska, Hristijan Gjoreski, Daniel Denkovski, Marija Kalendar, Leo Anthony Celi and Venet Osmani
Publié dans: XV International Conference ETAI 2021, Numéro 2(1), 2021, Page(s) 148-152, ISSN 2545-4889
Éditeur: ETAI - Society for Electronics, Telecommunications, Automation and Informatics

Using Virtual Reality to elicit Empathy: a narrative review

Auteurs: E. Kizhevska, F. Brito, T. Guerreiro and M. Lustrek
Publié dans: Proceedings of VR4Health - Workshop on Virtual Reality for Health and Wellbeing co-located with 21st International Conference on Mobile and Ubiquitous Multimedia (MUM 2022), Numéro Vol-3425, 2022, ISSN 1613-0073
Éditeur: CEUR Workshop Proceedings

Prediction of Hospital Readmission using Federated Learning

Auteurs: B. Sazdov, M. Tashkovska, S. Krsteski, B. Jovanovski, S. Kalabakov, V. Rakovic, D. Denkovski and H. Gjoreski
Publié dans: 2023 30th International Conference on Systems, Signals and Image Processing (IWSSIP), 2023, ISBN 9798350337303
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/iwssip58668.2023.10180282

Smart Glasses for Gait Analysis of Parkinson’s Disease Patients

Auteurs: I. Kiprijanovska, F. Panchevski, S. Stankoski, M. Gjoreski, J. Archer, J. Broulidakis, I. Mavridou, B. Hayes, T. Guerreiro, C. Nduka and H. Gjoreski
Publié dans: 2023 46th MIPRO ICT and Electronics Convention (MIPRO), 2023, ISBN 978-953-233-104-2
Éditeur: IEEE
DOI: 10.23919/mipro57284.2023.10159926

Android Integration of a Machine Learning Pipeline for Human Activity Recognition

Auteurs: V. Srbinoski, D. Denkovski, E. Kizhevska and H. Gjoreski
Publié dans: Pervasive Health and Smart Sensing Conference at the Information Society Multiconference 2022, Numéro Volume H, 2022, Page(s) 11-14, ISBN 978-961-264-247-1
Éditeur: Institut Jožef Stefan

OCOsense Glasses – Monitoring Facial Gestures and Expressions for Augmented Human-Computer Interaction: OCOsense Glasses for Monitoring Facial Gestures and Expressions

Auteurs: H. Gjoreski, I. Mavridou, J. Archer, W. Archer, A. Cleal, S. Stankoski, I. Kiprijanovska, M. Fatoorechi, P. Walas, J. Broulidakis, M. Gjoreski and C. Nduka
Publié dans: CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023, Page(s) 1-4, ISBN 9781450394222
Éditeur: ACM
DOI: 10.1145/3544549.3583918

Overcoming Data Scarcity in Human Activity Recognition

Auteurs: O. Konak, L. Liebe, K. Postnov, F. Sauerwald, H. Gjoreski, M. Lustrek and B. Arnrich
Publié dans: 2023 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2023
Éditeur: Institute of Electrical and Electronics Engineers

Machine Learning based Anomaly Detection in Ambient Assisted Living Environments

Auteurs: Ana Cholakoska, Valentin Rakovic, Hristijan Gjoreski, Bjarne Pfitzner, Bert Arnrich and Marija Kalendar
Publié dans: XV International Conference ETAI 2021, Numéro 2(1), 2021, Page(s) 144-147, ISSN 2545-4889
Éditeur: ETAI - Society for Electronics, Telecommunications, Automation and Informatics

Cross-dataset deep transfer learning for activity recognition

Auteurs: Martin Gjoreski, Stefan Kalabakov, Mitja Luštrek, Matjaž Gams, Hristijan Gjoreski
Publié dans: Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019, Page(s) 714-718, ISBN 9781450368698
Éditeur: ACM
DOI: 10.1145/3341162.3344865

Speaking Recognition with Facial EMG Sensors

Auteurs: A. Nikoloski, P. Poposki, I. Kiprijanovska, S. Stankoski, M. Gjoreski, C. Nduka and H. Gjoreski
Publié dans: Pervasive Health and Smart Sensing Conference at the Information Society Multiconference 2022, Numéro Volume H, 2022, Page(s) 15-18, ISBN 978-961-264-247-1
Éditeur: Institut Jožef Stefan

Differentially Private Federated Learning for Anomaly Detection in eHealth Networks

Auteurs: A. Cholakoska, B. Pfitzner, H. Gjoreski, V. Rakovic, B. Arnrich and M. Kalendar
Publié dans: UbiComp/ISWC '21 Adjunct: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers, 2021, Page(s) 514–518, ISBN 9781450384612
Éditeur: Association for Computing Machinery
DOI: 10.1145/3460418.3479365

Deep Ensembles for Inter-Domain Arousal Recognition

Auteurs: Martin Gjoreski, Hristijian Gjoreski, Mitja Lustrek, Matjaz Gams
Publié dans: Proceedings of Machine Learning Research, Workshop on Artificial Intelligence in Affective Computing, Numéro Vol. 86, 2020, Page(s) 52-65, ISSN 2640-3498
Éditeur: Proceedings of Machine Learning Research

What Actually Works for Activity Recognition in Scenarios with Significant Domain Shift: Lessons Learned from the 2019 and 2020 Sussex-Huawei Challenges

Auteurs: S. Kalabakov, S. Stankoski, I. Kiprijanovska, A. Andova, N. Reščič, V. Janko, M. Gjoreski, M. Gams and M. Luštrek
Publié dans: Sensors, Numéro 22(10), 2022, Page(s) 3613, ISSN 1424-8220
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s22103613

Facial EMG sensing for monitoring affect using a wearable device

Auteurs: M. Gjoreski, I. Kiprijanovska, S. Stankoski, I. Mavridou, M. J. Broulidakis, H. Gjoreski and C. Nduka
Publié dans: Scientific Reports, Numéro 12, 2022, Page(s) 16876, ISSN 2045-2322
Éditeur: Nature Publishing Group
DOI: 10.1038/s41598-022-21456-1

Detection of Gait Abnormalities for Fall Risk Assessment Using Wrist-Worn Inertial Sensors and Deep Learning

Auteurs: Ivana Kiprijanovska, Hristijan Gjoreski, Matjaž Gams
Publié dans: Sensors, Numéro 20/18, 2020, Page(s) 5373, ISSN 1424-8220
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s20185373

Cognitive Load Monitoring With Wearables–Lessons Learned From a Machine Learning Challenge

Auteurs: Martin Gjoreski, Bhargavi Mahesh, Tine Kolenik, Jens Uwe-Garbas, Dominik Seuss, Hristijan Gjoreski, Mitja Luštrek, Matjaž Gams and Veljko Pejović
Publié dans: Access, Numéro 9, 2021, Page(s) 103325-103336, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2021.3093216

Analysis of Deep Transfer Learning Using DeepConvLSTM for Human Activity Recognition from Wearable Sensors

Auteurs: Stefan Kalabakov, Martin Gjoreski, Hristijan Gjoreski and Matjaž Gams
Publié dans: Informatica, Numéro 45(2), 2021, Page(s) 289–296, ISSN 0350-5596
Éditeur: Slovensko Drustvo Informatika
DOI: 10.31449/inf.v45i2.3648

Resource Allocation of NOMA Communication Systems for Federated Learning

Auteurs: M. Poposka, B. Jovanovski, V. Rakovic, D. Denkovski and Z. Hadzi-Velkov
Publié dans: Communications Letters, Numéro 27(8), 2023, Page(s) 2108 - 2112, ISSN 1089-7798
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/lcomm.2023.3286909

Breathing Rate Estimation from Head-Worn Photoplethysmography Sensor Data Using Machine Learning

Auteurs: S. Stankoski, I. Kiprijanovska, I. Mavridou, C. Nduka, H. Gjoreski and M. Gjoreski
Publié dans: Sensors, Numéro 22(6), 2022, Page(s) 2079, ISSN 1424-8220
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s22062079

Datasets for Cognitive Load Inference Using Wearable Sensors and Psychological Traits

Auteurs: Martin Gjoreski, Tine Kolenik, Timotej Knez, Mitja Luštrek, Matjaž Gams, Hristijan Gjoreski, Veljko Pejović
Publié dans: Applied Sciences, Numéro 10/11, 2020, Page(s) 3843, ISSN 2076-3417
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/app10113843

Federated Learning for Network Intrusion Detection in Ambient Assisted Living Environments

Auteurs: A. Cholakoska, H. Gjoreski, V. Rakovic, D. Denkovski, M. Kalendar, B. Pfitzner and B. Arnrich
Publié dans: Internet Computing, Numéro 27(4), 2023, 2023, Page(s) 15-22, ISSN 1089-7801
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mic.2023.3264700

Smartwatch-Based Eating Detection: Data Selection for Machine Learning from Imbalanced Data with Imperfect Labels

Auteurs: Simon Stankoski, Marko Jordan, Hristijan Gjoreski and Mitja Luštrek
Publié dans: Sensors, Numéro 21(5), 2021, Page(s) 1902, ISSN 1424-8220
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s21051902

Personalised Gait Recognition for People with Neurological Conditions

Auteurs: L. Ingelse, D. Branco, H. Gjoreski, T. Guerreiro, R. Bouça-Machado, J. Ferreira and the CNS Physiotherapy Study Group
Publié dans: Sensors, Numéro 22(11), 2022, Page(s) 3980, ISSN 1424-8220
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s22113980

Federated Learning for Activity Recognition: A System Level Perspective

Auteurs: S. Kalabakov, B. Jovanovski, D. Denkovski, V. Rakovic, B. Pfitzner, O. Konak, B. Arnrich and H. Gjoreski
Publié dans: Access, Numéro Vol 11 (2023), 2023, Page(s) 64442 - 64457, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2023.3289220

Food Frequency Questionnaire Personalisation Using Multi-Target Regression

Auteurs: Nina Reščič; Oscar Mayora; Claudio Eccher; Mitja Luštrek
Publié dans: Nutrients, Numéro 14(19), 2022, Page(s) 3943, ISSN 2072-6643
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/nu14193943

Using Double Convolution Neural Network for Lung Cancer Stage Detection

Auteurs: Goran Jakimovski, Danco Davcev
Publié dans: Applied Sciences, Numéro 9/3, 2019, Page(s) 427, ISSN 2076-3417
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/app9030427

Wearable Sensors Data-Fusion and Machine-Learning Method for Fall Detection and Activity Recognition

Auteurs: Hristijan Gjoreski, Simon Stankoski, Ivana Kiprijanovska, Anastasija Nikolovska, Natasha Mladenovska, Marija Trajanoska, Bojana Velichkovska, Martin Gjoreski, Mitja Luštrek, Matjaž Gams
Publié dans: Challenges and Trends in Multimodal Fall Detection for Healthcare, Numéro 273, 2020, Page(s) 81-96, ISBN 978-3-030-38747-1
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-38748-8_4

A Survey of Bias in Healthcare: Pitfalls of Using Biased Datasets and Applications

Auteurs: B. Velichkovska, D. Denkovski, H. Gjoreski, M. Kalendar and V. Osmani
Publié dans: Lecture Notes in Networks and Systems, Numéro vol 724, 2023, 2023, ISBN 978-3-031-35313-0
Éditeur: Springer, Cham
DOI: 10.1007/978-3-031-35314-7_50

Widening Research on Pervasive and eHealth - WideHealth

Livrables

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