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Tebbens, Ricardo (author)There is a raising demand for player statistics in the world of football. With the developments over the last years in wearable sensors, Human Activity Recognition (HAR) based on wearable IMU sensors can be used to tackle this problem. This thesis builds upon an earlier research done for this topic, where an end-to-end pipeline based on deep...master thesis 2023
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de Leeuw, Wouter (author)VPR describes a task where an agent (e.g., a robot) attempts to recognize its current location by comparing the incoming visual data from its sensor(s) (query images), usually a camera, to geotagged reference images. Both query and reference images are described using a feature extractor, and the query descriptor is matched to its closest...master thesis 2023
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Fenwick, Kayla (author)Cooking is an essential part of most people’s day-to-day lives. It is a dynamic activity that involves multitasking, timing of tasks, and flexibility. However, the available instruction methods for cooks who wish to follow recipes are quite rigid and linear. This project aims to create a design solution that provides instructions in a way that...master thesis 2023
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Cheng, Yuxing (author)To analyze latent multiple specific patterns in the line-based public transport daily delay occurrence, a data-driven explorative analysis of public transport daily delay spatial-temporal distribution pattern is performed based on the k-means clustering algorithm. Firstly, we used aggregated daily delay profile to visualize how the delay is...student report 2023
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de Boer, Lotte (author)Icebergs drifting through the Southern Ocean release fresh water and nutrients. This has local impacts on surrounding ecosystems and sea ice formation. On a global scale, salinity patterns and ocean circulation are affected. In addition, <br/> tudying icebergs as a proxy for ice shelves in a warming climate can help predict future climate...master thesis 2023
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Focante, Edoardo (author)In recent years, neural networks (NNs) have seen a surge in popularity due to their ability to model complex patterns and relationships in data. One of the challenges of using NNs is the requirement for large amounts of labelled data to train the model effectively. In many real-world applications such as radar, labelled data may be scarce due to...master thesis 2023
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Tselentis, D. (author), Papadimitriou, E. (author)This study reviews the Artificial Intelligence and Machine Learning approaches developed thus far for driver profile and driving pattern recognition, representing a set of macroscopic and microscopic behaviors respectively, to enhance the understanding of human factors in road safety, and therefore reduce the number of crashes. It provides a...journal article 2023
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Lindenbergh, R.C. (author), Cserép, Máté (author)The evolution and spreading of data capturing methods ranging from simple GPS devices like smart-phones to large scale imaging equipment – including very high resolution and hyperspectral cameras and LiDAR – resulted in an exponential growth in the amount of spatial data maintained by companies and organizations. At the same time methods for...journal article 2023
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Ciszewski, M.G. (author), Söhl, J. (author), Jongbloed, G. (author)The past decade has seen an increased interest in human activity recognition based on sensor data. Most often, the sensor data come unannotated, creating the need for fast labelling methods. For assessing the quality of the labelling, an appropriate performance measure has to be chosen. Our main contribution is a novel post-processing method...journal article 2023
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Lieu, J. (author), Pearce, B.J. (author), Martinez Reyes, A. (author), Groome, Phillippa (author), Mangalagiu, Diana (author), Witajewska-Baltvilka, Baiba (author), Møller, Regine-Ellen D. (author)We develop and apply the concept of equitable knowledge co-production (EKC) by proposing a reflexive framework to support inclusive stakeholder engagement with diverse knowledge-holders. This framework is built on the authors’ experiences of leading three ongoing Horizon 2020 projects, and its goal is to contribute to the realisation of...journal article 2023
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Joint human motion recognition and breathing frequency estimation for indoor healthcare applicationsCORTES PERALTA, Max (author)The challenge of dealing with patients suffering from chronic diseases and an aging population requires evolving from traditional hospital-based healthcare systems into a person-centered approach, where patients can be monitored remotely via modern technologies by cost-effective and reliable solutions based on emerging technologies in the...master thesis 2022
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Goedemondt, Koen (author)This thesis describes the design and implementation of µLightDigit, which is the second iteration of the LightDigit project: a contactless air-writing system based on ambient light detection with embedded deep learning using only simple photodiodes. The system is able to classify digits 0–9 written in the air by detecting the dynamic hand shadow...master thesis 2022
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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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Zhang, T. (author)Fine-grained emotion recognition is the process of automatically identifying the emotions of users at a fine granularity level, typically in the time intervals of 0.5s to 4s according to the expected duration of emotions. Previous work mainly focused on developing algorithms to recognize only one emotion for a video based on the user feedback...doctoral thesis 2022
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Guo, Zhongyuan (author)Today, with increasingly aging population, healthcare systems in many countries need to improve their effectiveness, and the automatic HAR technology can be beneficial. This can provide early diagnosis of changes in behavioral patterns in the home environment, without hospitalization, and detect critical events such as falls in a timely manner....master thesis 2022
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AZEUFACK, Elie (author)Energy Communities are initiatives ran by members of the same or different communities with the aim of producing, distributing and consuming cleaner energy. The potential of these initiatives, as identified from this clean energy production, to play a key role in the energy transition is assumed to be vital as recognized by the European...master thesis 2022
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Boers, Milo (author)Nonintrusive Load Monitoring (NILM) can be used to disaggregate household energy<br/>usage collected from a central meter to the level of individual appliances, but has so far mostly been applied in controlled, small-scale settings. Further potential such as the application for energy efficiency classification and management have remained...master thesis 2022
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Narchi, William (author)This paper presents how a convolutional neural network can be constructed in order to recognise gestures using photodiodes and ambient light. A number of candidates are presented and evaluated, with the most performant being adopted for in-depth analysis. This network is then compressed in order to be ran on an Arduino Nano 33 BLE...bachelor thesis 2022
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Petrescu, Stefan (author)Modern systems generate a tremendous amount of data, making manual investigations infeasible, hence requiring automating the process of analysis. However, running automated log analysis pipelines is far from straightforward, due to the changing nature of software ecosystems caused by the constant need to adapt to user requirements. In practice,...master thesis 2022
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Zhang, Yixuan (author)One of the most important problems that needs tackling for wide deployment of Automatic Speech Recognition (ASR) is the bias in ASR, i.e., ASRs tend to generate more accurate predictions for certain speaker groups while making more errors on speech from others. In this thesis, we aim to reduce bias against non-native speakers of Dutch compared...master thesis 2022