Searched for: subject%3A%22IMU%22
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Tang, Xiaohan (author)
Inertial Measurement Units (IMUs) have become increasingly popular human motion estimation due to their portability, self-contained features, and cost-effectiveness compared to marker-based sensing systems which rely on external cameras to observe the position of the markers. Over the years, many studies have proposed various models and...
master thesis 2023
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van Dam, Nathalie (author)
Propulsion power is an important metric in wheelchair racing. For a flat surface, it can be estimated from the sum of friction power and kinetic power. Usually, to determine friction power, the rolling and air drag coefficient first need to be determined with coast-down tests or other time-consuming methods. The aim of this paper was to...
master thesis 2023
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Cetin, Halithan (author)
Time-sensitive medical emergencies resulting from the entry of harmful agents into the body require immediate and urgent medical attention to prevent irreversible symptoms or fatalities. However, the current process for urgent care relies on human intervention, which can introduce significant delays and potentially compromise the effectiveness...
master thesis 2023
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van Baasbank, Erik (author)
Charting hyperlocal wind using a drone is a challenge of increased attention as it unlocks potential in a variety of fields. In context of the METeo Sensors In the Sky project, this study proposes a method to estimate the magnitude and direction of wind using a quadcopter in hover and cruise without a dedicated wind sensor. Only on-board sensors...
master thesis 2023
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Nguyen, Vivian (author)
Tracking food intake provides a valuable source of information to gain insights in dietary habits for the health industry. Currently, the main method to track food intake to is do it manually. To take a step towards tracking food intake manually, this these aims to answer the following research question: ”How to detect chewing episodes with an...
bachelor thesis 2023
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de Vries, W.H.K. (author), van der Slikke, R.M.A. (author), van Dijk, M.P. (author), Arnet, Ursina (author)
Daily wheelchair ambulation is seen as a risk factor for shoulder problems, which are prevalent in manual wheelchair users. To examine the long-term effect of shoulder load from daily wheelchair ambulation on shoulder problems, quantification is required in real-life settings. In this study, we describe and validate a comprehensive and...
journal article 2023
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Engels, Ayla (author)
Activity classification in sports is a powerful tool for athlete monitoring, enhancing performance and injury prevention. In handball, detection and classification of throws during a practice or a (practice) match has not been done. Therefore, the aim of this study is to use machine learning algorithms to detect handball throws and to classify...
master thesis 2022
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van Oorschot, Marijn (author)
Spacecraft navigation and control is difficult in deep space operations. Especially around asteroids, the irregular gravity field increases the difficulty of estimating the spacecraft trajectory. Autonomous navigation can increase the safety and accuracy for orbit proximity operations. Furthermore, it eliminates the need for continuous...
master thesis 2022
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Kempen, Leon (author)
The Midge is a wearable badge created by the Socially Perceptive Computing Lab, Pattern Recognition and Bioinformatics group of the Delft University of Technology, with as goal to analyse human behaviour. The badge has a digital motion processor (DMP) that can determine its orientation. This DMP makes use of an inertial measurement unit (IMU),...
bachelor thesis 2022
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Habte, Koos (author)
Monitoring and analyzing human movement is used in many fields, ranging from healthcare and industrial applications to sports analytics. To provide a football player or their coach with insight into their performance during a game, or their technical development over time, many methods are available such as camera setups and smart vests. However...
master thesis 2022
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Vonk, Arjan (author)
Mapping an environment with a Light Detection and Ranging (LiDAR) sensor through the use of a LiDAR Simultaneous Localization And Mapping (SLAM) algorithm is a powerful technology that allows for the creation of detailed 3D models. Recently various LiDAR sensors have been developed based on Micro-Electro-Mechanical System (MEMS) technology....
master thesis 2022
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Houweling, Mark (author)
Bulk handling grabs are often used for unloading bulk materials such as iron ore and coal from bulk carrying ships. To improve and compare virtual simulations of new grabs, accurate real life kinematic data of grabs is required. Moreover kinematic data can potentially provide insight in current use of grabs, which can be interesting information...
master thesis 2022
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Blok, Janneke (author)
Trunk motor control is essential for the proper functioning of the upper extremities and is an important predictor of gait capacity in children with delayed development. Early diagnosis and intervention can potentially increase the trunk motor capabilities in later life. However, current tools used to assess the level of trunk motor control are...
master thesis 2022
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Schwertasek, Ties (author)
The Midge is a sensor device developed by the Socially Perceptive Computing Lab (SPCL) at Delft University of Technology (TU Delft). This device is used to monitor human behaviour in social settings using several sensors. In this paper, the accuracy of the Inertial Measurement Unit (IMU) chip used in the Midge sensor package was evaluated. The...
bachelor thesis 2022
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De Vette, V.G. (author), Veeger, H.E.J. (author), van Dijk, M.P. (author)
More insight into in-field mechanical power in cyclical sports is useful for coaches, sport scientists, and athletes for various reasons. To estimate in-field mechanical power, the use of wearable sensors can be a convenient solution. However, as many model options and approaches for mechanical power estimation using wearable sensors exist, and...
review 2022
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Cuperman, Rafael (author), Jansen, K.M.B. (author), Ciszewski, M.G. (author)
Action statistics in sports, such as the number of sprints and jumps, along with the details of the corresponding locomotor actions, are of high interest to coaches and players, as well as medical staff. Current video-based systems have the disadvantage that they are costly and not easily transportable to new locations. In this study, we...
journal article 2022
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Jurisson, A. (author), Timmermans, Huub (author), Eussen, Bart (author), de Visser, C.C. (author), De Breuker, R. (author)
A ground vibration test was conducted with a 1:3 scaled Diana 2 glider model where the modal parameters were estimated using the accelerometers, gyroscopes and strain gauges integrated in the test aircraft and validated using externally attached calibrated accelerometers and commercial software. These modal parameters were then used to update...
conference paper 2022
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Rajvanshi, Ullas (author)
The purpose of this thesis is to do quality assessment of GNSS/IMU derived NAP heights for The Netherlands (NAP) using Fugro RILA technique and the RDNAPTRANS2018 published by Rijkswaterstaat. The use of Global Navigation Satellite System (GNSS) is growing rapidly in order to determine the position (both horizontal and vertical). However, the...
master thesis 2021
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Lopez Hidalgo, Jose (author)
Every year, nearly five million people undergo knee, making it one of the most common orthopaedic procedures. Sport-related injuries and age-related diseases are the major causes that lead to a knee operation. To recover mobility, stability and muscle strength, the person must go through a post-surgical rehabilitation program.<br/>The price of...
master thesis 2021
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Cuperman Coifman, Rafael (author)
been given to Human Activity Recognition (HAR) based on signals obtained by IMUs placed on different body parts. This thesis studies the usage of Deep Learning-based models to recognize different football activities in an accurate, robust, and fast manner. Several deep architectures were trained with data captured with IMU sensors placed on...
master thesis 2021
Searched for: subject%3A%22IMU%22
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