AffecTech presentation in Lisbon

AffecTech Early Stage Researcher (ESR) Shadi Ghiasi has given a talk at the Instituto Superior Técnico in Lisbon, exploring challenges in affective computing.

The talk formed part of her secondment activity at Plux, the wireless biosignals company, with attendees including PhD, Master’s students and Professors working in the field of bioengineering.

Secondments enable AffecTech ESRs / PhD students to work across at least two sectors, supporting the multi-discipliniary goals of the AffecTech project, which includes the fostering of international research culture within and across sectors, and the promotion of excellence and innovation in the development of personal technologies for affective health.

This talk was aimed at sharing insights of the AffecTech project’s goals and objectives and the research activities of the “Computational Physiology and Biomedical Instruments Group” in the University of Pisa. More specifically, the research targeted three main facets of the affective computing field composing of methodologies in biomedical signal processing, cardiovascular and neural modelling architectures and lastly, wearable systems for physiological monitoring.

Slide from the talk on affective computing

Due to the the interest of the audience, discussions were conducted toward emotional elicitation protocols and the challenges signal processors face with the current physiological wearable sensors. The talk from Shadi, (pictured top right) who is based at the University of Pisa, Italy gave the opportunity for students and professors to interact, raising interesting discussions and novel ideas to tackle the current limitations in affective computing discipline.

AffecTech is a project established with support from the Marie Skłodowska-Curie Innovative Training Network (ITN) via the European Commission’s Horizon 2020 (H2020) research and innovation programme, focusing on cutting-edge research and development for personal technologies for mental health. AffecTech is an Innovative Training Network funded under Marie Skłodowska-Curie grant agreement No 722022. You can find out more about AffecTech here: