Low-cost brain-computer interface for stress detection: a feasibility study using EEG and ML.NET
R Chałupnik, KM Białas, B Perz, M Pelc, AD Kawala-Sterniuk
IEEE 2026
2026
Bartosz Perz
Assistant
Bartosz is a Ph.D. student at the Department of Artificial Intelligence and a member of the Emognition research group. He does his research in affective computing; specifically he works on personalized specifically emotion recognition from physiological signals. Bartosz is also the head of the DaniE student research club that focuses on data analysis and machine learning.
Research interests
- Affective Computing
- Machine Learning
- Physiological signals
Research groups
Education
- 2019
B.Eng. in Mechatronics
Wroclaw University of Science and Technology
- 2020
M.Sc. in Big Data Analytics
Wroclaw University of Science and Technology
Publications13
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
Personalization of affective state recognition from physiological signals: a review
ACIIDS 2025 143–158 · Cited by 1
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
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
Conference paper · Cited by 7
2023
Personalization of emotion recognition for everyday life using physiological signals from wearables
Conference paper · Cited by 3
2022
Real-life validation of emotion detection system with wearables
D Kunc, J Komoszyńska, B Perz, P Kazienko, S Saganowski
IWINAC 2022 45–54 · Cited by 10
2022
The cold start problem and per-group personalization in real-life emotion recognition with wearables
S Saganowski, D Kunc, B Perz, J Komoszyńska, M Behnke, P Kazienko
Conference paper · Cited by 14
2022
Emognition dataset: emotion recognition with self-reports, facial expressions, and physiology using wearables
S Saganowski, J Komoszyńska, M Behnke, B Perz, D Kunc, BP Klich, P Kazienko, …
Scientific Data 9, 1–11 · Cited by 89
2022
A system for collecting emotionally annotated physiological signals in daily life using wearables
S Saganowski, M Behnke, J Komoszyńska, D Kunc, B Perz, P Kazienko
Conference paper · Cited by 15
2021