NAGRODA "DYPLOM ROKU"
WYRÓŻNIENIA
XXIII Konferencja Polish Conference on Biocybernetics and Biomedical Engineering (PCBBE 2023) Łodź 27-29.09.2023 r.
PUBLIKACJE STUDENCKIE
2024
Monte-Carlo Modeling of Optical Sensors for Postoperative Free Flap Monitoring
P. Stadnik, I. Rogoń, M. Kaczmarek
This work aims to develop a numerical tissue model and implement software to simulate photon propagation using the Monte Carlo method to determine design guidelines for a physical measurement system. C++ was used for the simulation program, and Python as a programming environment to create an interface that allows the user to customize individual simulation elements, allowing for increased accuracy and flexibility when simulating...
2023
Analysis of the Capability of Deep Learning Algorithms for EEG-based Brain-Computer Interface Implementation
K. Ledwosiński, P. Czapla, T. Kocejko,J. Kang-Hyun
Machine learning models have received significant attention for their exceptional performance in classifying electroencephalography (EEG) data. They have proven to be highly effective in extracting intricate patterns and features from the raw signal data, thereby contributing to their success in EEG classification tasks. In this study, we explore the possibilities of utilizing contemporary machine learning algorithms in decoding...
Mask Detection and Classification in Thermal Face Images
N. Kowalczyk, M. Sobotka, J. Rumiński - IEEE Access
Face masks are recommended to reduce the transmission of many viruses, especially SARS-CoV-2. Therefore, the automatic detection of whether there is a mask on the face, what type of mask is worn, and how it is worn is an important research topic. In this work, the use of thermal imaging was considered to analyze the possibility of detecting (localizing) a mask on the face, as well as to check whether it is possible to classify...
2022
AITP - AI Thermal Pedestrians Dataset
A. Górska, P. Guzal, A. Wędołowska, M. Włoszczyńska, J. Rumiński
Efficient pedestrian detection is a very important task in ensuring safety within road conditions, especially after sunset. One way to achieve this goal is to use thermal imaging in conjunction with deep learning methods and an annotated dataset for models training. In this work, such a dataset has been created by capturing thermal images of pedestrians in different weather and traffic conditions. All images were manually annotated...
Pedestrian detection in low-resolution thermal images
A. Górska, P. Guzal, I. Namiotko, A. Wędołowska, M. Włoszczyńska, J. Rumiński
Over one million people die in car accidents worldwide each year. A solution that will be able to reduce situations in which pedestrian safety is at risk has been sought for a long time. One of the techniques for detecting pedestrians on the road is the use of artificial intelligence in connection with thermal imaging. The purpose of this work was to design a system to assist the safety of people and car intelligence with the use...
Eye-tracking everywhere - software supporting disabled people in interaction with computers
In this paper we present comprehensive system for communication with computer by gaze. One of the main assumptions behind this work was to provide solution that can be used with standard RGB webcam. The proposed comprehensive system included the eye tracking module and user interface for convenient gaze interaction with computer. As a result a fully functional application was developed. The average accuracy of the eye tracking...
Deep learning approach on surface EEG based Brain Computer Interface
Ł. Radzinski, T. Kocejko
In this work we analysed the application of con-volutional neural networks in motor imagery classification for the Brain Computer Interface (BCI) purposes. To increase the accuracy of classification we proposed the solution that combines the Common Spatial Pattern (CSP) with convolutional network (ConvNet). The electroencephalography (EEG) is one of the modalities we try to use for controlling the prosthetic arm. Therefor in this...
The use of machine learning for face regions detection in thermograms
The aim of this study is to analyse the methods of detecting characteristic points of the face in thermographic images. As part of the implementation an extensive analysis of scientific publications covering similar issues both for the analysis of images made in visible light and thermographic images was carried out. On the basis of this analysis, 3 models were selected and then they were implemented and tested on the basis of...
Analysis of the influence of external conditions on temperature readings in thermograms and adaptive adjustment of the measured temperature value
P. Filipowicz, M. Kowalewski, K. Słomińska, M. Kaczmarek
Measuring human temperature is a crucial step in preventing the spread of diseases such as COVID-19. For the proper operation of an automatic body temperature measurement system throughout the year, it is necessary to consider outdoor conditions. In this paper, the effect of atmospheric factors on facial temperature readings using infrared thermography is investigated. A thorough analysis of the variation of facial temperature...
