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Eyetracking for traffic analysis
Veselá, Cindy ; Němcová, Andrea (referee) ; Janoušek, Oto (advisor)
This bachelor thesis deals with the analysis of eye movement during solving traffic situations using eyetracker. The theoretical part describes eye anatomy and the types eye movement. It also explains methods of how eye movement is tracked with a focus on eye-tracking methods. Practical part contains two programs and record of eye movement of drivers. The first program records eye movement during traffic observation in videos, the second program visualizes eye movement in displayed videos. It was examined parameters of eye movement, which could lead to differentiation of drivers according to their experience.
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Therapeutic game for reaction time measurement using the BITalino platform
Veselá, Cindy ; Mézl, Martin (referee) ; Hesko, Branislav (advisor)
This master’s thesis focuses on real-time detection of activity in electromyographic signal for reaction time measurement. For patients motivation there was designed and implemented therapeutic car game controlled throught the muscle activity. In this thesis were used three different algorithms for muscles activity detection in EMG signal. The best accuracy of this three methods has designed artificial network with U-Net hierarchy, which is used to segment samples into two categories - samples of signal with activity and samples representing calm. Accuracy of this method is 97 %. Later there were examined differences between groups of probands, different stimulus and the changes of reaction time over time.
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Real Time Emg Detection In Therapeutic Game
Veselá, Cindy
This article focuses on real-time detection of activity in electromyographical signal. The study is based on controlling the therapeutic game through the muscle activity, called myofeedback. Many different algorithms can be used to detect EMG signal. Nowadays there is rapid development of artificial intelligence not only in biomedical engineering. In this paper there is implemented convolutional neural network for signal segmentation with accuracy 97,13%.
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Therapeutic game for reaction time measurement using the BITalino platform
Veselá, Cindy ; Mézl, Martin (referee) ; Hesko, Branislav (advisor)
This master’s thesis focuses on real-time detection of activity in electromyographic signal for reaction time measurement. For patients motivation there was designed and implemented therapeutic car game controlled throught the muscle activity. In this thesis were used three different algorithms for muscles activity detection in EMG signal. The best accuracy of this three methods has designed artificial network with U-Net hierarchy, which is used to segment samples into two categories - samples of signal with activity and samples representing calm. Accuracy of this method is 97 %. Later there were examined differences between groups of probands, different stimulus and the changes of reaction time over time.
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Eyetracking For Traffic Analysis
Veselá, Cindy
This study deals with the analysis of eye movement during solving traffic situations using eyetracker. The goal of this study is to create two programs and record eye movement of drivers. The first program records eye movement during traffic observation in videos. The second program visualizes eye movement in displayed videos.
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Eyetracking for traffic analysis
Veselá, Cindy ; Němcová, Andrea (referee) ; Janoušek, Oto (advisor)
This bachelor thesis deals with the analysis of eye movement during solving traffic situations using eyetracker. The theoretical part describes eye anatomy and the types eye movement. It also explains methods of how eye movement is tracked with a focus on eye-tracking methods. Practical part contains two programs and record of eye movement of drivers. The first program records eye movement during traffic observation in videos, the second program visualizes eye movement in displayed videos. It was examined parameters of eye movement, which could lead to differentiation of drivers according to their experience.
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