ETAPS 2019
Sat 6 - Thu 11 April 2019 Prague, Czech Republic
Sat 6 Apr 2019 09:10 - 10:10 at S9 - I Chair(s): Milan Ceska

The prevalence of wearable sensing devices and smartphones is resulting in a multitude of physiological data being collected, for example heart rate, gait and eye movement. Driven by applications in health and behavioural monitoring, as well as affective computing, there is a growing demand for computational models that are able to accurately predict multimodal features in a variety of contexts. While machine learning models excel at identifying features in physiological signals, they lack reliability guarantees and need to be adapted to the user. This talk will give an overview of modelling and personalisation techniques developed as part of the AffecTech project ( and their applications in the context of biometric security and emotion recognition. Future challenges in this important field will also be discussed.

Sat 6 Apr

09:00 - 10:30: HSB - I at S9
Chair(s): Milan CeskaBrno University of Technology
hsb-2019-papers09:00 - 09:10
Day opening
hsb-2019-papers09:10 - 10:10
Marta KwiatkowskaUniversity of Oxford
hsb-2019-papers10:10 - 10:20
Matej TrojákMasaryk University, David SafranekMasaryk University, Jan ČervenýGlobal Change Research Institute CAS, Marek HavlíkMasaryk University, Lukrécia MertováMasaryk University, Matej HajnalMasaryk University, Jakub HrabecMasaryk University, Jakub ŠalagovičMasaryk University
hsb-2019-papers10:20 - 10:30
Lin LiuFreie Universität Berlin, Alexander BockmayrFreie Universität Berlin