RESEARCHER PROFILE

Michał Podpora

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University of Opole

Social Robot Interaction and HRIEEG and Brain-Computer InterfacesEmotion and Mood RecognitionSpeech and dialogue systemsOnline Learning and Analytics

Michał Podpora works in Social Robot Interaction and HRI, EEG and Brain-Computer Interfaces, Emotion and Mood Recognition, Speech and dialogue systems, Online Learning and Analytics. Recorded institutional associations include University of Opole.

85Publications
693Citations
15H-index

ORCID

Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.

Selected research works

Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.

  1. Comparison of Smoothing Filters in Analysis of EEG Data for the Medical Diagnostics Purposes

    2020 · 91 citations

  2. YUV vs RGB—Choosing a Color Space for Human-Machine Interaction

    2014 · 72 citations

  3. Educational Data Mining for Tutoring Support in Higher Education: A Web-Based Tool Case Study in Engineering Degrees

    2020 · 49 citations

  4. Human Interaction Smart Subsystem—Extending Speech-Based Human-Robot Interaction Systems with an Implementation of External Smart Sensors

    2020 · 43 citations

  5. Comparison of Smoothing Filters’ Influence on Quality of Data Recorded with the Emotiv EPOC Flex Brain–Computer Interface Headset during Audio Stimulation

    2021 · 36 citations

  6. Experience from the operation of the Pepper humanoid robots

    2017 · 35 citations

  7. Game controller based on biomedical signals

    2015 · 30 citations

  8. Method for EEG Signals Pattern Recognition in Embedded Systems

    2015 · 26 citations

  9. The Pepper Humanoid Robot in Front Desk Application

    2018 · 22 citations

  10. Comparison of Three CPU-Core Families for IoT Applications in Terms of Security and Performance of AES-GCM

    2019 · 22 citations

  11. Innovative approach in analysis of EEG and EMG signals — Comparision of the two novel methods

    2014 · 21 citations

  12. Implementation of an inexpensive EEG headset for the pattern recognition purpose

    2013 · 18 citations

  13. Multimodal sentiment analysis applied to interaction between patients and a humanoid robot Pepper

    2019 · 16 citations

  14. Synthesis of Dynamic Errors Correcting Algorithm for Auto–Balancing Bridge Methods

    2020 · 16 citations

  15. Comparison of Modern Deep Learning Models for Speaker Verification

    2024 · 16 citations

  16. Review of the application of the most current sophisticated image processing methods for the skin cancer diagnostics purposes

    2024 · 15 citations

  17. Internet of Things Embedded System for Emotion Recognition

    2018 · 10 citations

  18. Making Eye Contact with a Robot - Exploring User Experience in Interacting with Pepper

    2018 · 9 citations

  19. Data-driven tool for monitoring of students performance

    2019 · 9 citations

  20. USE OF A COST-EFFECTIVE NEUROHEADSET EMOTIV EPOC FOR PATTERN RECOGNITION PURPOSES

    2014 · 8 citations

  21. Enhancing Automatic Speech Recognition With Personalized Models: Improving Accuracy Through Individualized Fine-Tuning

    2024 · 8 citations

  22. Innovative Internet of Things-reinforced Human Recognition for Human-Machine Interaction Purposes

    2018 · 7 citations

  23. Humanoid Receptionist Connected to IoT Subsystems and Smart Infrastructure is Smarter than Expected

    2019 · 7 citations

  24. Comparison of the Usability of Apple M2 and M1 Processors for Various Machine Learning Tasks

    2023 · 7 citations

  25. Smart Beamforming in Verbal Human-Machine Interaction for Humanoid Robots

    2023 · 7 citations

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