We are a team of specialists from the Network Services Division of Poznan Supercomputing and Networking Center dedicated to psychophysiological and behavioral data acquisition and analysis.
We use tools derived from the areas of statistics and data analysis, machine learning, and image processing to solve big data problems in academic and commercial research.
We develop our own software and build models of artificial neural networks for detection, segmentation and classification of data, be it image data or data from various types of biosensors.
Our publications:
Behnke, M., Buchwald, M., Bykowski, A., Kupiński, Sz., Enko, J., Kosakowski, M., Drążkowski, D., Kaczmarek, L.D., (2021), POPANE DATASET – Psychophysiology Of Positive And Negative Emotions, OSF https://doi.org/10.17605/OSF.IO/94BPX (2021). https://data.psychosensing.psnc.pl/popane/
M. Buchwald, S. Kupiński, A. Bykowski, J. Marcinkowska, D. Ratajczyk and M. Jukiewicz, „Electrodermal activity as a measure of cognitive load: a methodological approach,” 2019 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), Poznan, Poland, 2019, pp. 175-179, doi: 10.23919/SPA.2019.8936745.
Półrolniczak, M.; Potocka, I.; Kolendowicz, L.; Rogowski, M.; Kupiński, S.; Bykowski, A.; Młynarczyk, Z. „The Impact of Biometeorological Conditions on the Perception of Landscape”, Atmosphere 2019, 10, 264.
A. Bykowski and S. Kupiński, „Feature matching and ArUco markers application in mobile eye tracking studies,” 2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), Poznan, 2018, pp. 255-260, doi: 10.23919/SPA.2018.8563387.
A. Bykowski and S. Kupiński. 2018. „Automatic mapping of gaze position coordinates of eye-tracking glasses video on a common static reference image.” In Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications (ETRA ’18). Association for Computing Machinery, New York, NY, USA, Article 84, 1–3. DOI:https://doi.org/10.1145/3204493.3208331
