Affective and Human Computing for SMART Environments

Online ATHIKA Course "eHealth Opportunities and Challenges: IoT, AI and Ethics"

Interested to find out about recent tech influence and challenges for eHealth sector? Join this free course funded by Erasmus+ programme of the European Union that covers fundamentals and specific topics in Internet of Things (IoT), Artificial Intelligence (AI) and Machine Learning (ML), and Governance and Ethics. The 5ECTS certification course will start on 8th February, 2021. Registration by 7th February, 2021 here. For further Information, please visit ATHIKA Website.
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Project Visual Management System (VMS) started

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Paper accepted in IEEE Access

Our paper "T. Althobaiti, S. Katsigiannis, D. West, N. Ramzan, Examining Human-Horse Interaction by Means of Affect Recognition via Physiological Signals" was accepted for publication in IEEE Access (Impact Factor: 4.098).

Project SERIC started

To develop an automated safeguarding platform to prevent misuse of collaborative platforms used within the education sector.

Project ATHIKA started

Advanced Training in Health Innovation Knowledge Alliance (ATHIKA) proposes to create an innovative approach for training and support, aimed at increasing the successful implementation of ICT innovations and initiatives for the European healthcare sector companies and ventures.

Paper accepted in IEEE Trans. on Consumer Electronics

Our paper "S. Katsigiannis, R. Willis, N. Ramzan, A QoE and Simulator Sickness Evaluation of a Smart-Exercise-Bike Virtual Reality System via User Feedback and Physiological Signals" was accepted for publication in IEEE Transactions on Consumer Electronics (Impact Factor: 1.802).

Paper accepted in IEEE Trans. on Affective Computing

Our paper "P. Arnau-González, M. Arevalillo-Herráez, S. Katsigiannis, N. Ramzan, On the influence of affect in EEG-based subject identification" was accepted for publication in IEEE Transactions on Affective Computing (Impact Factor: 4.585).

Paper selected for IEEE JBHI cover page

Our paper "S. Katsigiannis, N. Ramzan, DREAMER: A Database for Emotion Recognition Through EEG and ECG Signals from Wireless Low-cost Off-the-Shelf Devices" was selected for the cover page of the IEEE Journal of Biomedical and Health Informatics, vol. 22, issue 1, January 2018.

IEEE Circuits and Systems Society 2017 Award

Circuits and Systems for Video Technology Best Paper Award: "T. K. Tan, R. Weerakkody, M. Mrak, N. Ramzan, V. Baroncini, J.R. Ohm, and G. J. Sullivan, Video Quality Evaluation Methodology and Verification Testing of HEVC Compression Performance, IEEE Transactions on Circuits and Systems for Video Technology, vol. 26, no. 1, pp. 76-90, September 2015".

DREAMER emotion recognition database released

The DREAMER emotion recognition database was publicly released after the publication of our paper "S. Katsigiannis, N. Ramzan, DREAMER: A Database for Emotion Recognition Through EEG and ECG Signals from Wireless Low-cost Off-the-Shelf Devices" was selected for the cover page of the IEEE Journal of Biomedical and Health Informatics, vol. 22, issue 1, January 2018.