170 citations · 343 across the 16 of their papers we have counts for
18 papers
Take it Personally: The Limits of General SSL Representations for Real-Life PPG Emotion Detection
Dominika Kunc, Przemysław Kazienko, Stanisław Saganowski
While Self-Supervised Learning (SSL) effectively extracts general representations from noisy, unconstrained physiological signals such as photoplethysmography (PPG), its suitabilit…
Does the Heart Show Your Pain? Tackling the X-ITE Pain Challenge with Self-Supervised ECG Representation Learning
Dominika Kunc, Przemysław Kazienko, Stanisław Saganowski
Accurate recognition of pain using physiological signals remains a challenging problem due to pain's subjective nature and high inter-individual variability. In this study, we inve…
Scaling Representation Learning from Ubiquitous ECG with State-Space Models
Kleanthis Avramidis, Dominika Kunc, Bartosz Perz +5
Ubiquitous sensing from wearable devices in the wild holds promise for enhancing human well-being, from diagnosing clinical conditions and measuring stress to building adaptive hea…
Consumer Wearables and Affective Computing for Wellbeing Support
Stanisław Saganowski, Przemysław Kazienko, Maciej Dzieżyc +7
Wearables equipped with pervasive sensors enable us to monitor physiological and behavioral signals in our everyday life. We propose the WellAff system able to recognize affective…
Emotion Recognition Using Wearables: A Systematic Literature Review Work in progress
Stanisław Saganowski, Anna Dutkowiak, Adam Dziadek +6
Wearables like smartwatches or wrist bands equipped with pervasive sensors enable us to monitor our physiological signals. In this study, we address the question whether they can h…
An "outside the box" solution for imbalanced data classification
Hubert Jegierski, Stanisław Saganowski
A common problem of the real-world data sets is the class imbalance, which can significantly affect the classification abilities of classifiers. Numerous methods have been proposed…