Utilizing representation learning for ECG-based authentication
A Woźniak, J Szyndlarewicz, D Kunc, S Saganowski
Lecture notes in computer science
2026
Stanisław Saganowski
Associate Professor
Stanisław is one of the leaders of the Emognition lab, which focuses on emotion recognition in everyday life using physiological data. His research interests include affect recognition from physiological data, mobile and wearable technologies, as well as affective computing solutions that improve health.
In 2021 he received a scholarship for outstanding young scientists funded by the Polish Ministry of Education and Science. He is also a member of the Top 500 Innovators association. In recent years, Stanisław has spent over 30 months at the world’s best universities: Cambridge (UK), Oxford (UK), NTU (Singapore), UC Davis (USA), U. of Southern California (USA), UTS (AU). He has authored over 40 research articles.
Research interests
- Affect recognition
- Affective computing
- Wearable technologies
Research groups
Education
- 2011
MSc in Computer Science
Blekinge Institute of Technology, Sweden
- 2011
MSc in Computer Science
Wroclaw University of Science and Technology
- 2018
PhD in Computer Science (with Honours)
Wroclaw University of Science and Technology
- 2023
D.Sc. in Information and Communication Technology
Wroclaw University of Science and Technology
Publications51
Dominance and complementarity in cross-modal representation learning for wearable time series
D Kunc, J Komoszyńska, P Kazienko, S Saganowski, K Avramidis, T Feng, …
Information Fusion 135, 1–15
2026
Using artificial intelligence to generate affective images: methodology and initial library
M Behnke, D Kunc, S Saganowski, M Kłoskowski, M Klichowski, W Krzyżaniak, …
Advances in Methods and Practices in Psychological Science 9(1), 1–28
2026
HeartAuth: ECG-based biometric authentication system using smartwatch signals
J Szyndlarewicz, A Woźniak, K Zając, K Tomczyk, D Kunc, S Saganowski
IEEE 2026
2026
Scaling representation learning from ubiquitous ECG with State-Space models
D Kunc, B Perz, P Kazienko, S Saganowski, K Avramidis, K Adsul, …
IEEE Journal of Biomedical and Health Informatics 28(10), 5877–5889 · Cited by 13
2024
Big team science reveals promises and limitations of machine learning efforts to model physiological markers of affective experience
B Perz, S Saganowski, NA Coles
Royal Society Open Science 12(6), 1–13 · Cited by 4
2025
Designing and executing a large-scale real-life affective study
J Komoszyńska, D Kunc, B Perz, A Hebko, P Kazienko, S Saganowski
Conference paper · Cited by 6
2024
Ethical considerations and checklist for affective research with wearables
M Behnke, S Saganowski, D Kunc, P Kazienko
IEEE Transactions on Affective Computing 15(1), 50–62 · Cited by 21
2024
Embracing subjectivity in affective research: naturalistic and controlled settings
D Kunc, J Komoszyńska, S Saganowski, P Kazienko, KS Quigley, LF Barrett
2024 12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), 15 September 2024, Glasgow, United Kingdom · Cited by 2
2024
Effect of on-demand vs continuous prescription of proton pump inhibitors on symptom burden and quality of life: results of a real-world randomized controlled trial in primary care patients with gastroesophageal reflux disease
P Bródka, S Saganowski, A Andreasson, L Agréus, N Mastellos, G Bliźniuk, …
Annals of Medicine 56(1), 1–9 · Cited by 3
2024
Emotion recognition for everyday life using physiological signals from wearables: a systematic literature review
S Saganowski, B Perz, A Polak, P Kazienko
IEEE Transactions on Affective Computing 14(3), 1876–1897 · Cited by 169
2023
Emognition system - wearables, physiology, and machine learning for real-life emotion capturing
D Kunc, J Komoszyńska, B Perz, S Saganowski, P Kazienko
2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2023 · Cited by 7
2023
Emotions studied by computer scientists and psychologists — A complementary perspective
M Behnke, S Saganowski, P Kazienko, ŁD Kaczmarek
Conference paper
2023
Lessons learned from developing emotion recognition system for everyday life
S Saganowski, J Miszczyk, D Kunc, D Lisouski, P Kazienko
Conference paper · Cited by 6
2023
Processing photoplethysmograms recorded by smartwatches to improve the quality of derived pulse rate variability
A Polak, BP Klich, S Saganowski, M Prucnal, P Kazienko
Sensors 22(18), 1–21 · Cited by 16
2022
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