Dominance and Complementarity in Cross-modal Representation Learning for Wearable Time Series

Kunc D., Komoszyńska J., Avramidis K., Feng T., Narayanan S., Kazienko P., Saganowski S.

In reviews

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Using AI to Generate Affective Images: Methodology and Initial Library

Behnke, M., Kłoskowski, M., ..., Kunc, D., & Saganowski, S., ... & Coles, N.

2024 PsyArXiv, DOI: 10.31234/osf.io/vxb7p_v1

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Exploring Real-Life Psychophysiological States with Self-Supervised Learning

Kunc, D., & Saganowski, S., Kazienko P.

2025 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)

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Representation Learning Enables Uncovering Psychophysiological States from Wearable Data

Kunc, D., & Saganowski, S.

2025 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)

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PPG-to-ECG Signal Translation Using Wearable Data in Affective Computing

Komoszyńska, J., & Saganowski, S.

2025 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)

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Personalization of Affective State Recognition from Physiological Signals: A Review

Perz B., Kazienko P.

17th Asian Conference on Intelligent Information and Database Systems - ACIIDS'2025

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Improving the Quality of Pulse Rate Variability Derived from Wearable Devices Using Adaptive, Spectrum and Nonlinear Filtering

Prucnal, M. A., Polak, A. G., & Kazienko, P.

Biomedical Signal Processing and Control, 102, 107336

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Embracing Subjectivity in Affective Research: Naturalistic and Controlled Settings

Kunc, D., Komoszyńska, J., Saganowski, S, Kazienko, P., Quigley, K. S & Feldman Barrett, L.

2024 12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)

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Big team science reveals promises and limitations of machine learning efforts to model the physiological basis of affective experience

Coles, N. A., Perz, B., Behnke, M., Eichstaedt, J., Kim, S. H., Vu, T. N., ... & Saganowski, S.

2024 PsyArXiv, DOI: 10.31234/osf.io/j9gbx

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Designing and Executing a Large-scale Real-life Affective Study

Komoszyńska, J., Kunc, D., Perz, B., Hebko, A., Kazienko, P., & Saganowski, S

2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (pp. 505-510)

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Scaling Representation Learning from Ubiquitous ECG with State-Space Models

Avramidis, K., Kunc, D., Perz, B., Adsul, K., Feng, T., Kazienko, P., Saganowski, S., & Narayanan, S.

IEEE Journal of Biomedical and Health Informatics

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Emognition system - wearables, physiology and machine learning for real-life emotion capturing

Kunc, D., Komoszyńska, J., Perz, B., Saganowski, S., & Kazienko, P.

2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)

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Emotions Studied by Computer Scientists and Psychologists — A Complementary Perspective

Behnke, M., Saganowski, S., Kaczmarek, Ł. D., & Kazienko, P.

2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (pp. 206-211)

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Lessons Learned from Developing Emotion Recognition System for Everyday Life

Saganowski, S., Miszczyk, J., Kunc, D., Lisouski, D., & Kazienko P.

SenSys 2022: The 20th ACM Conference on Embedded Networked Sensor Systems. 2022

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Ethical Considerations and Checklist for Affective Research with Wearables

Behnke, M., Saganowski, S., Kunc, D., & Kazienko, P.

IEEE Transactions on Affective Computing. 2022

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Real-Life Validation of Emotion Detection System with Wearables

Kunc, D., Komoszyńska, J., Perz, B., Kazienko, P., & Saganowski, S.

International Work-Conference on the Interplay Between Natural and Artificial Computation (pp. 45-54). Springer, Cham. 2022

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Emotion Recognition for Everyday Life Using Physiological Signals from Wearables: A Systematic Literature Review

Saganowski, S., Perz, B., Polak, A., & Kazienko, P.

IEEE Transactions on Affective Computing. 2022

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Bringing Emotion Recognition Out of the Lab into Real Life: Recent Advances in Sensors and Machine Learning

Saganowski, S.

Electronics 11.3: 496. 2022

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Emognition dataset: emotion recognition with self-reports, facial expressions, and physiology using wearables

Saganowski, S., Komoszyńska, J., Behnke, M., Perz, B., Kunc, D., Klich, B., Kaczmarek, Ł.D., & Kazienko, P.

Scientific data, 9(1), 1-11. 2022

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The Cold Start Problem and Per-Group Personalization in Real-Life Emotion Recognition With Wearables

Saganowski, S., Kunc, D., Perz, B., Komoszyńska, J., Behnke, M., & Kazienko, P.

2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (pp. 812-817)

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A system for collecting emotionally annotated physiological signals in daily life using wearables

Saganowski, S., Behnke, M., Komoszyńska, J., Kunc, D., Perz, B., & Kazienko, P.

2021 9th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW) (pp. 1-3) IEEE

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How to catch them all? Enhanced data collection for emotion recognition in the field

Dzieżyc, M., Komoszyńska, J., Saganowski, S., Boruch, M., Dziwiński, J., Jabłońska, K., Kunc, D., & Kazienko, P.

2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (pp. 348-351)

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Can We Ditch Feature Engineering? End-to-End Deep Learning for Affect Recognition from Physiological Sensor Data

Dzieżyc, M., Gjoreski, M., Kazienko, P., Saganowski, S., & Gams, M.

Sensors, 20(22), 6535. 2020

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Consumer Wearables and Affective Computing for Wellbeing Support

Saganowski, S., Kazienko, P., Dzieżyc, M., Jakimów, P., Komoszyńska, J., Michalska, W., Dutkowiak, A., Polak, A., Dziadek, A., & Ujma, M.

MobiQuitous 2020-17th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (pp. 482-487)

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Emotion Recognition Using Wearables: A Systematic Literature Review - Work-in-progress

Saganowski, S., Dutkowiak, A., Dziadek, A., Dzieżyc, M., Komoszyńska, J., Michalska, W., Polak, A., Ujma, M., & Kazienko, P.

2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) (pp. 1-6)

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