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Ortiz Moya, Álvaro (author)
The identification of time-varying, adaptive behaviour of a human operator in basic manual control tasks is undoubtedly under development since most methodologies only account for time-invariant systems. Previous authors have proved that estimation techniques based on ARX structures can generally identify the HO model parameters. Nonetheless,...
master thesis 2023
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Engelen, Anouk (author)
During human motor control, sensory information is integrated, and the influence of each cue depends on its variance. Sensory weighting within the proprioceptive system, specifically between force and position feedback, including its stiffness dependency, has been demonstrated for the shoulder and digits. Both studies encompass upper limb joints...
master thesis 2023
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van Riessen, Bram (author)
Relocated haptic feedback from the fingertip to the proximal phalanx can alter the perception of physical interactions by simultaneously displaying relocated multimodal tactile cues. However, how these relocated tactile cues alter the vibrotactile sensitivity of the fingertip remains unclear. This two-site stimulation study employs a...
master thesis 2023
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Harmankaya, Hüseyin (author)
Commercially available Lane Keeping Assist systems fail to consider the driver's intentions since they mainly focus on minimising path tracking errors, resulting in conflicts between humans and automation. This often leads to users being unsatisfactory and turning off the assist, as a result diminishing the advantages such as reduced workload...
master thesis 2023
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Bakker, Roemer (author)
master thesis 2023
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Chadha, Akhil (author)
Driving simulators have been used in the automotive industry for many years now. They have been vastly employed for conducting tests in a safe, reproducible and controlled immersive virtual environment. The ability of the simulator to recreate the in-vehicle experience for the occupant is established through motion cueing algorithms. Such...
master thesis 2022
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Brans, Tammo (author)
It is impossible to imagine modern day interaction with technology without the use of touchscreens. It is a go-to interface to use for many applications, because of the high stimuli-response compatibility and adaptability of the graphical user interface. But the haptic feedback one would have with physical buttons and dials, is lost with the use...
master thesis 2022
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Luteijn, Peter (author)
Research into Aerodynamic Stall Model Identification (ASMI) is an ongoing endeavor to create a model that achieves the highest fidelity, that aids in upset recovery training of pilots in Flight Simulator Training Devices (FSTD). Aircraft come in various configurations, one aircraft stall model cannot sufficiently provide a full understanding...
master thesis 2022
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Peters, Luka (author)
Thermal feedback has been proven to enhance the user experience in human-machine interaction. However, state-of-the-art technology mainly focuses on static contact using either palm or fingertip, overlooking dynamic and multi-finger interactions. Underlying challenges include incompatible designs of the conventional interfaces for providing...
master thesis 2022
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Veldhuis, Robbin (author)
Understanding human perception of haptic feedback is critical when designing and regulating these control systems. In recent years, experiments have been conducted to determine the Just-Noticeable Difference (JND) in mass-spring-damper dynamics using a hydraulic admittance display in the form of a side-stick. These experiments have resulted in a...
master thesis 2022
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DELFOSSE, Alexandre (author)
Since 2019, the FAA and the EASA impose to all airline pilots to follow, as part of their training, a stall and recovery training. To mitigate the risks, this training takes place in ground-based simulators. To make it happen, models of the aircraft behaviour at high angle of attack need to be developed. Among the different modeling approaches...
master thesis 2022
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Talsma, Tessa (author)
Higher levels of automation in driving may allow drivers to engage in other activities, but may also increase the likelihood of Motion Sickness (MS). The exact causes of MS are not well understood, and various susceptibility factors(e.g. age, gender, ethnicity) can cause large individual differences. To better understand and predict MS, it is...
master thesis 2022
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de Jong, Martijn (author)
To fully optimize the synergy between human operators and machines in modern day’s highly automated vehicle control tasks, a real-time quantitative feedback of skill level is required. Direct feedback of skill level could be used to enable scalable levels of autonomy of the controlled system, or to provide a warning when sudden skill level...
master thesis 2021
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Pattanayak, Adarsh (author)
Following the literature review, our goal was to study the effect and interaction of motion sickness and motivation on cognitive performance in a reading comprehension task and the associated workload with the task. We chose UCKAT reading tasks for our cognitive task, monetary incentive and ranks as our motivator and a multisine sickening motion...
master thesis 2021
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De Meester, Emma (author)
master thesis 2020
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Hendrickx, Rik (author)
As on-time performance is one of the main contributors to success in the world of commercial aviation, predictions on flight delays and cancellations can significantly improve operational efficiency and thus quality of service. Since flight delays and cancellations are occasional and infrequent events, operational on-time performance data is...
master thesis 2020
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Lugtenborg, Lieke (author)
Parkinson's disease can severely affect motor performance and impede in executing daily activities. Treatment can greatly improve patients' quality-of-life, however, disease detection and monitoring is still performed subjectively. Quantification of patients' motor performance and its decline due to increasing symptom severity using tracking...
master thesis 2020
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Devetzoglou Toliou, STAVRINA (author)
The central nervous system (CNS) exhibits remarkable plasticity throughout life. The physiological changes in the CNS that occur due to plasticity allow us to perform new skills and old ones more effectively and efficiently over time.<br/><br/>Recently, it has been demonstrated that plasticity can be used to help people recover motor function...
master thesis 2020
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Dekker, Melina (author)
Freezing of Gait (FoG) is a debilitating walking problem affecting over 50\% of Parkinson's Disease (PD) patients. Rhythmic cues during FoG can help patients to resume walking. FoG can be detected from lower limb acceleration data, but current detection algorithms lack context, resulting in false positive detection and initiation of cues when...
master thesis 2020
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Wesseling, Juliette (author)
Although simulators are widely recognized as being a valuable tool in ERCP training, the current use of simulation models in ERCP training program is still minimal due to the limited availability of instructors. This study aims to develop an independently executable training for the “ERCP Trainer”, a mechanical simulation model, that effectively...
master thesis 2019
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