Explore the words cloud of the AffecTech project. It provides you a very rough idea of what is the project "AffecTech" about.
The following table provides information about the project.
Coordinator |
UNIVERSITY OF LANCASTER
Organization address contact info |
Coordinator Country | United Kingdom [UK] |
Project website | http://www.affectech.org/ |
Total cost | 3˙888˙273 € |
EC max contribution | 3˙888˙273 € (100%) |
Programme |
1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers) |
Code Call | H2020-MSCA-ITN-2016 |
Funding Scheme | MSCA-ITN-ETN |
Starting year | 2017 |
Duration (year-month-day) | from 2017-01-01 to 2020-12-31 |
Take a look of project's partnership.
Personalized health is a European priority and one of the strategic research areas for Horizon 2020. This project advances the state-of-the-art of personal health technologies for affective disorders, estimated to be the highest ranking cause of disease by 2020. It marks a significant shift from the current wearable technologies capturing emotional responses whose understanding usually requires physicians’ input, to low-cost self-help technologies for visualizing, exploring and regulating emotions.
AFFECTIVA integrates the latest Human-Computer Interaction and Biomedical Engineering findings in designing and developing personal health systems for mental health, with the most influential outcomes and models of emotion regulation from Clinical Psychology.
The overall aim is to support self-understanding and successful adoption of adaptive emotion regulation strategies in daily life. AFFECTIVA will contribute towards four significant outcomes: (1) wearable systems for capturing emotion regulation, (2) applications for understanding emotions and their regulatory processes, (3) interactive tools for training adaptive emotion regulation strategies, and (4) theoretical contributions to emotion regulation research in real life.
AFFECTIVA builds on exceptional European and North American expertise from both academic and private sector to provide personalized health research with a timely and much needed momentum to address the pressing social challenge of emotional wellbeing and health.
Measurement | Other | 2019-06-28 18:38:55 |
Guidelines | Other | 2019-06-28 18:38:54 |
Guidelines 2 | Other | 2019-06-28 18:38:54 |
Dissemination | Other | 2019-06-28 18:38:54 |
Models | Other | 2019-06-28 18:38:54 |
Training | Other | 2019-06-28 18:38:54 |
Take a look to the deliverables list in detail: detailed list of AffecTech deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2018 |
S. Rosa, A. Patane, X. Lu, and N. Trigoni CommonSense: Collaborative learning of scene semantics by robots and humans published pages: , ISSN: , DOI: |
International Workshop on Internet of People, Assistive Robots and Things 1 | 2019-06-28 |
2018 |
A. Patane and M. Kwiatkowska Calibrating the Classifier: Siamese Neural Network Architecture for End-to-End Arousal Recognition from ECG published pages: , ISSN: , DOI: |
Fourth International Conference on Machine Learning, Optimization, and Data Science | 2019-06-28 |
2018 |
Stefano Rosa, Andrea Patane, Chris Xiaoxuan Lu, Niki Trigoni Semantic Place Understanding for Human–Robot Coexistence—Toward Intelligent Workplaces published pages: 1-11, ISSN: 2168-2291, DOI: 10.1109/THMS.2018.2875079 |
IEEE Transactions on Human-Machine Systems | 2019-06-28 |
2018 |
Patane, A., Ghiasi, S., Scilingo, E. P., & Kwiatkowska, M. Automated Recognition of Sleep Arousal using Multimodal and Personalized Deep Ensembles of Neural Networks published pages: , ISSN: , DOI: |
Proceedings of Computing in Cardiology | 2019-06-28 |
2019 |
Cardelli, L., Kwiatkowska, M., Laurenti, L., & Patane, A. Robustness Guarantees for Bayesian Inference with Gaussian Processes published pages: , ISSN: , DOI: |
Proceedings of 33rd AAAI Conference on Artificial Intelligence 2019 33 | 2019-06-28 |
2018 |
S. Eberz, G. Lovisotto, A. Patane, M. Kwiatkowska, V. Lenders and I. Martinovic When Your Fitness Tracker Betrays You: Quantifying the Predictability of Biometric Features Across Contexts published pages: , ISSN: , DOI: |
IEEE Symposium on Security and Privacy | 2019-06-28 |
2018 |
N. Paoletti, A. Patane, M. Kwiatkowska Closed-loop quantitative verification of rate-adaptive pacemakers published pages: , ISSN: 2378-962X, DOI: |
ACM Transactions on Cyber-Physical Systems | 2019-06-28 |
2017 |
Sas, C. Personal values in HCI research published pages: 4, ISSN: , DOI: |
CHI’17 Values in Computing Workshop | 2019-06-28 |
2017 |
Repetto, C., Sas, C., Botella, C. Riva, G. AFFECTECH: Personal Technologies for Affective Health published pages: 2, ISSN: , DOI: |
The 15th European Congress of Psychology | 2019-06-28 |
2016 |
Coman, A. and Sas, C. A hybrid intervention for challenging the stigma of mental illness. published pages: 73-80, ISSN: 2066-7701, DOI: |
Bulletin of the Transilvania University of Brasov 9(58-2) | 2019-06-28 |
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The information about "AFFECTECH" are provided by the European Opendata Portal: CORDIS opendata.