Searched for: contributor%3A%22Eisma%2C+Y.B.+%28graduation+committee%29%22
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Bol, Marije (author)
Background: A brain-computer interface (BCI) is a system that enables humans to control a computer by their brain signals. This can be achieved by modulating the sensorimotor rhythm (SMR) through both motor execution and motor imagery. The potential enhancement of spinal reflexes and motor control through SMR training is attributed to the...
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
document
Oosterbaan, Robin (author)
Lely is developing a tethered manure applicator robot, designed to work on the fields of farms. This vehicle called the Jojo, is constrained in its movement due to the attached tether. It can not make tight turns and can only reverse by backtracking the driven path. This thesis explores the path planning issue and provides a novel solution. The...
master thesis 2023
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Kyriazis, Ioannis (author)
Patients with neuromuscular diseases that are unable to speak, but whose cognitive ability has been maintained, can be benefited from Brain Computer Interfaces (BCIs). The decoding of inner (covert) speech from EEGs consists of one of the state of the art methods that aim to tackle this issue. High variability between subjects, as well as low...
master thesis 2023
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Wisboom, Matthijs (author)
The agricultural industry is undergoing a transformative shift towards efficiency and large-scale production. Manual labor is unable to meet the increasing demand, leading to the development of automation techniques. During production, objects are adjusted and moved along a line to maintain productivity. This work investigates the feasibility of...
master thesis 2023
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Gu, Zhengping (author)
Feedback error learning (FEL) is a classical computational model that describes human motor learning. It consists of forward and inverse models representing internal dynamics and environmental disturbances. Such models can be used as controllers that represent the function of the motor cortex. On top of FEL, a model has been built with jointly...
master thesis 2023
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Munster, Marcel (author)
An aging population puts a pressure on health-care workers working with dementia patients globally. A potential solution is to provide care with Socially Assistive Robots (SARs), i.e. robots who help people through social interaction. However, for effective care these SARs must be able to personalize their behavior to individual patients and...
master thesis 2023
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van Dorth tot Medler, Jan (author)
Background: For rigorous software testing, integration and end-to-end tests are essential to ensure the expected behavior of multiple interacting components of the system. When software is subjected to integration or end-to-end tests, it is often unfeasible to test every code change individually, as the runtime of these tests is usually...
master thesis 2023
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Xu, Ke (author)
The problem of assisting users in comprehending the robotic scenario information in a retail setting has been studied. To design the system, an integrated ontology composed of several IEEE standard ontologies and a labelled property graph (LPG)-based ontology modified from the Web Ontology Language (OWL)-based ontology was proposed to symbolize...
master thesis 2023
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Endlich, Luuk (author)
The design of a guide-path map is a well-known problem in various industries, such as automated guided vehicle (AGV) systems, road networks, and train track design. Nowadays, designing a path map is a manual, time-consuming, and expensive process. The solutions often turn out to be far from optimal. Several approaches are known to generate path...
master thesis 2022
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Coroz, Meltem (author)
A robotic vehicle must continuously determine its position within the map to traverse a path safely; this is called self-localization. Current localization methods use mainly sensors like LIDARS. However, a LIDAR does not return data points if the environment is an empty field; the laser scan of the LIDAR does not reflect without obstacles,...
master thesis 2022
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Thirunavukkarasu Kumaaravelu, Lokkeshver (author)
Vulnerable road users account for more than 50% of traffic fatalities, and among these, pedestrians are the most susceptible to fatalities due to their distraction and misperception of other road users. To mitigate their plight, systems that warn drivers and pedestrians in case of a possible collision have been developed. Among systems that...
master thesis 2022
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Schotman, Marc (author)
Driving often requires dividing attention between scanning the environment and following navigation instructions. The aim of this study was to investigate the effects of conformal and non-conformal navigation symbology on drivers' visual search. A driving simulator study was conducted where participants drove with conformal and non-conformal...
master thesis 2021
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Witte, Tieme (author)
Newly educated sailors have a tendency to neglect the outside view when sailing [1], instead relying on systems like the Electronic Chart Display and Information System (ECDIS) [2] for information on ships in the area.Augmented Reality (AR) has been proposed as a solution to this problem, by visualising ships in the area in 3D at their physical...
master thesis 2020
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Barendse, Marc (author)
Traffic is a self-organising, regulated system, but there are several ambiguous situations where no rules apply. In such situations, communication is important in order to achieve a smooth traffic flow and a safe situation. However, in the majority of traffic conflicts, adequate coordination between road users is lacking. Communication is...
master thesis 2019
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Stuldreher, Ivo (author)
Monitoring selectively directed auditory attention in groups can be helpful in a range of contexts, such as in education. In real-world settings, selectively directed attention cannot be monitored by relating physiological signals to known event markers. Determining the similarity of physiological responses across individuals in a group (i.e.,...
master thesis 2019
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Agarwal, Rakshit (author)
A large number of pedestrian fatalities and the emergence of autonomous vehicles (AVs) creates a need for research in vehicle to pedestrian (V2P) interaction. Gestures (e.g., hand movement, eye contact) used for communication between pedestrians and manually driven vehicle plays a significant role to reduce ambiguities and make safe road...
master thesis 2019
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de Jong, Tjitte (author)
A high drop-out rate is present during current-day air traffic controller (ATCo) training, because the required expertise level is not reached. The determination of the expertise level of ATCo students is currently performed using subjective assessments at a late stage in the training by means of high-fidelity simulator sessions. It is desired...
master thesis 2019
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Kooijman, Lars (author)
The pedestrian is regarded to be one of the most vulnerable road users. Non-verbal communication between drivers and pedestrians seems to play an important role in the mitigation of collisions. The emergence of autonomous vehicles in traffic in the near future presses the need to investigate objective measures related to pedestrian crossing...
master thesis 2018
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