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portfolio
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publications
Emotion analysis using heart rate data
Published in DEXA 2019, 2019
An attempt to classify human emotions without including Electroencephalography (EEG) signal, using the DEAP dataset (A Database for Emotion Analysis using Physiological Signals).
Recommended citation: Barradas Chacon, L. A., Fedoskin, A., Shcheglakova, E., Neamsup, S., & Rashed, A. (2019). Emotion analysis using heart rate data. In Database and Expert Systems Applications: DEXA 2019 International Workshops BIOKDD, IWCFS, MLKgraphs and TIR, Linz, Austria, August 26–29, 2019, Proceedings 30 (pp. 147-154). Springer International Publishing.
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The influence of visual representation factors on bio signals and its relation to Presence in Virtual Reality Environments
Published in MetroXRAINE 2022, 2022
Strong inter-individual differences in heart rate (HR) and heart rate variability (HRV) indicate an influence of visual representation factors during presence in virtual reality (VR) environments.
Recommended citation: Wriessnegger, S. C., Autengruber, L. M., Chacón, L. A. B., Pirker, J., & Safikhani, S. (2022, October). The influence of visual representation factors on bio signals and its relation to Presence in Virtual Reality Environments. In 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (pp. 199-204). IEEE.
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Stylized faces enhance ERP features used for the detection of emotional responses
Published in Frontiers in Human Neuroscience, 2023
It is found that artificially enhanced human faces with exaggerated, cartoonish visual features significantly improve some commonly used neural correlates of emotion as measured by event-related potentials (ERPs).
Recommended citation: Barradas-Chacón, L. A., Brunner, C., & Wriessnegger, S. C. (2023). Stylized faces enhance ERP features used for the detection of emotional responses. Frontiers in Human Neuroscience, 17, 1160800.
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talks
Niños en la ciencia
Published:
As part of the Ciencia en Movimiento program, and in collaboration with the Guanajuato Network for Science Communication, I gave talks to elementary school kids with topics like cognitive science, epistemology, and meta-science. The goal was to inspire kids to pursue a career in science, and to show them that science is not only for adults. The talks were given in Spanish.
Python Workshop
Published:
In collaboration with the IEEE Student Branch, I gave a 40 hr Python workshop to students of the Engineering Faculty. The goal of this workshop was to compliment the students’ education with a practical approach to programming. The workshop was given in Spanish.
TimeLayers
Published:
Along with my collaborators, we presented a startup initiative at the Oxford University Urban Innovation Forum. The TimeLayers initiative was aimed at creating a platform for the visualization of urban data, with the goal of overlaying historic pictures to current urban landscapes. This project was part of the Public Entrepreneurship Laboratory at the School of Government and Public Transformation of the Tecnológico de Monterrey. The talk was given in English.
Clubes de Ciencia
Published:
In collaboration with the Clubes de Ciencia, I aided in the organization and technical execution of a week-long workshop for high school students. The workshop was focused on the basics of Quantum Computing, and the students were able to program their own quantum algorithms. The workshop was given in Spanish and English.
High Performance Computing with Julia
Published:
With the goal of keeping up with state of the art methods for computational simulation, I prepared and imparted a 15 hrs course on high performance computing with the Julia programming language for the Natural and Exact Sciences Division of the Guanajuato State University. The workshop was given in Spanish.
Emotion Analysis using Heart Rate Data
Published:
Presenting the results of my research on the use of heart rate data for emotion analysis at the DEXA 2019 conference.
The influence of visual representation factors on bio signals and its relation to Presence in Virtual Reality Environments
Published:
Presented collaborative work on VR Presence at the IEEE international conference on Metrology for eXtended Reality and Artificial Intelligence and Neural Engineering (MetroXRAINE)
teaching
Neurophysiology and Information Processing in Humans
Undergraduate Laboratory, Technische Universität Graz, 2020
The first iteration of a renewed lab on Neurophysiology and Information Processing in Humans. In this lab students learned about the physiology of the autonomic nervous system, as well as tools and methods to analyze and evaluate human data related to information processing. The materials for this course can be found on github: github.com/abcsds/NPLab
Neurophysiology and Information Processing in Humans
Undergraduate Laboratory, Technische Universität Graz, 2021
The first iteration of a renewed lab on Neurophysiology and Information Processing in Humans. In this lab students learned about the physiology of the autonomic nervous system, as well as tools and methods to analyze and evaluate human data related to information processing. The materials for this course can be found on github: github.com/abcsds/NPLab
Neureuroimaging
Undergraduate Laboratory, Technische Universität Graz, 2021
In this lab, students learned basics of Near-Infrared Spectrometry, and its use in motor imagery. Materials for this course can be found on github: github.com/abcsds/ImagingLab
Neurophysiology and Information Processing in Humans
Undergraduate Laboratory, Technische Universität Graz, 2022
The third iteration of this lab on Neurophysiology and Information Processing in Humans, students learned about the physiology of the autonomic nervous system, as well as open source tools and methods to analyze and evaluate human data related to affective information processing online. This included Psychopy and OpenVIBE. The materials for this course can be found on github: github.com/abcsds/NPLab
Neureuroimaging
Undergraduate Laboratory, Technische Universität Graz, 2022
In this lab, students learned basics of Near-Infrared Spectrometry, and its use in motor imagery. Materials for this course can be found on github: github.com/abcsds/ImagingLab