Searched for: contributor%3A%22Lan%2C+G.+%28mentor%29%22
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Regmi, Bishwas (author)
Emotion recognition in Virtual Reality(VR) has the potential to offer numerous benefits across various sectors such as mental healthcare, education, marketing, entertainment, etc. Although emotion recognition itself is a mature field, the sub-field of VR-based emotion recognition is still in its early stages of development. It was found that a...
master thesis 2024
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feng, Clio (author)
Recently, while gaze estimation has gained a substantial improvement by using deep learning models, research had shown that neural networks are weak against adversarial attacks. Despite researchers has been done numerous on adversarial training, there are little to no studies on adversarial training in gaze estimation. Therefore, the objective...
bachelor thesis 2023
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Nguyen, Tan (author)
Gaze estimation holds significant importance in various applications. Pioneering research has demonstrated state-of-the-art performance in gaze estimation models by utilizing deep Convolutional Neural Networks (CNNs) and incorporating full facial images as input, instead of or in addition to solely using one or both eye images. Facial images...
bachelor thesis 2023
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Dijk, Jorn (author)
This study aims to provide insights in applying different data augmentation techniques to the input data of a convolutional neural network that estimates gaze. Gaze is used in numerous research domains for understanding and predicting emotions and actions from humans. Data augmentations consists of techniques to increase the size, variance and...
bachelor thesis 2023
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Penning, Thijs (author)
Gaze estimation is an important area of research used in a wide range of applications. However, existing models trained for gaze estimation often suffer from high computational costs. In this study, frequency domain channel selection techniques were explored to decrease these costs by reducing the size of the input data. The main research...
bachelor thesis 2023
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Fu, Yuan (author)
Facial expression recognition on head-mounted devices (HMDs) is an intriguing research field because of its potential in various applications, such as interactive virtual reality video meetings. Existing work focuses on building a supervised learning pipeline that utilizes a vast amount of labeled periocular images taken by the built-in cameras....
master thesis 2022
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Vaessen, Kasper (author)
Classification of sedentary activities using gaze tracking data can be of great use in fields such as teaching, human-computer interaction and surveilling. Conventional machine learning methods such as k-nearest neighbours, random forest and support vector machine might be used to classify such activities, but this requires knowledge about the...
bachelor thesis 2022
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Brockbernd, Bob (author)
This research proposes a novel method to classify cognitive behavior based on eye-movement data. Most state-of-the-art approaches use conventional machine learning techniques needing manual feature extraction. This experiment explores the possibility of applying deep learning algorithms to cognitive activity recognition for feature extraction...
bachelor thesis 2022
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Meijerink, Julian (author)
The use of eye-tracking as a tool to provide cognitive context is rising in real-world systems. Though extensive research has been done on using machine learning and deep learning to classify sedentary activities using data captured by eye-trackers, there is a gap in analyzing the impact of the usage of different sedentary activities and feature...
bachelor thesis 2022
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Chatalbasheva, Violeta (author)
Sedentary activity recognition is an important research field due to its various positive implications in people’s life. This study builds upon previous research which is based on low level features extracted from the gaze signals using a fixation filter and uses a dataset of 24 participants performing 8 different sedentary activities. The main...
bachelor thesis 2022
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Poeth, Ole (author)
Cognitive processes have been used in recent years for context sensing and this has shown promising results. Multiple sets of features have shown good performance but no set of features has been determined the best for classifying gaze data. This paper looks at different feature sets and the heterogeneity of gaze signals from subjects and...
bachelor thesis 2022
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