Searched for: subject%3A%22modelling%22
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Versteeg, Rogier (author), Pool, D.M. (author), Mulder, Max (author)
This article discusses a long short-term memory (LSTM) recurrent neural network that uses raw time-domain data obtained in compensatory tracking tasks as input features for classifying (the adaptation of) human manual control with single- and double-integrator controlled element dynamics. Data from two different experiments were used to train...
journal article 2024
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Kotian, V. (author), Irmak, T. (author), Pool, D.M. (author), Happee, R. (author)
Users of automated vehicles will engage in other activities and take their eyes off the road, making them prone to motion sickness. To resolve this, the current paper validates models predicting sickness in response to motion and visual conditions. We validate published models of vestibular and visual sensory integration that have been used...
journal article 2024
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van der El, Kasper (author), Pool, D.M. (author), van Paassen, M.M. (author), Mulder, Max (author)
In the design of human-like steering support systems, driver models are essential for matching the supporting automation's behavior to that of the human driver. However, current driver models are very limited in capturing the driver's adaptation to key task variables such as road width and visibility (i.e., 'preview' of the road ahead). This...
journal article 2023
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Kotian, V. (author), Pool, D.M. (author), Happee, R. (author)
Users of automated vehicles will move away from being drivers to passengers, preferably engaged in other activities such as reading or using laptops and smartphones, which will strongly increase susceptibility to motion sickness. Similarly, in driving simulators, the presented visual motion with scaled or even without any physical motion causes...
conference paper 2023
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Irmak, T. (author), Pool, D.M. (author), de Winkel, K.N. (author), Happee, R. (author)
The human motion perception system has long been linked to motion sickness through state estimation conflict terms. However, to date, the extent to which available perception models are able to predict motion sickness, or which of the employed perceptual mechanisms are of most relevance to sickness prediction, has not been studied. In this...
journal article 2023
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Irmak, T. (author), Kotian, V. (author), Happee, R. (author), de Winkel, K.N. (author), Pool, D.M. (author)
The relationship between the amplitude of motion and the accumulation of motion sickness in time is unclear. Here, we investigated this relationship at the individual and group level. Seventeen participants were exposed to four oscillatory motion stimuli, in four separate sessions, separated by at least 1 week to prevent habituation. Motion...
journal article 2022
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Pool, D.M. (author), de Vries, Rick J. (author), Pel, Johan J.M. (author)
This paper investigates the potential of using a manual pursuit tracking task for quantifying loss of motor skills due to Parkinson's disease (PD), by applying human controller (HC) modeling techniques. With this approach, it is possible to obtain detailed quantitative data on motor performance in terms of control gain, response delay,...
journal article 2022
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Mulder, Max (author), Pool, D.M. (author), van der El, Kasper (author), van Paassen, M.M. (author)
Cyberneticists develop mathematical human control models which are used to tune manual control systems and understand human performance limits. Neuroscientists explore the physiology and circuitry of the central nervous system to understand how the brain works. Both research human visuomotor control tasks, such as the pursuit tracking task....
journal article 2022
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Bentinck, Pieter Bas J.C. (author), Pool, D.M. (author), van der El, Kasper (author), Hoagg, Jesse B. (author), Mulder, Max (author)
Better understanding of manual control requires more research on human anticipatory feedforward behaviour. Recent advances include a human control model for preview tracking, and a subsystem identification (SSID) technique that uses a candidate pool approach to identify the human feedforward and feedback responses. This paper discusses the...
journal article 2022
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Pool, E.A.I. (author)
This thesis addresses the problem of path prediction for cyclists.<br/>Instead of solely focusing on how to predict the future trajectory based on previous position measurements, this thesis investigates how to leverage additional contextual information that can inform on the future intent of cyclists.<br/>This thesis does this with the...
doctoral thesis 2021
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Pool, E.A.I. (author), Kooij, J.F.P. (author), Gavrila, D. (author)
This paper compares two models for context-based path prediction of objects with switching dynamics: a Dynamic Bayesian Network (DBN) and a Recurrent Neural Network (RNN). These models are instances of two larger model categories, distinguished by whether expert knowledge is explicitly crafted into the state representation (and thus is...
journal article 2021
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Irmak, T. (author), de Winkel, K.N. (author), Pool, D.M. (author), Bülthoff, Heinrich H. (author), Happee, R. (author)
Previous literature suggests a relationship between individual characteristics of motion perception and the peak frequency of motion sickness sensitivity. Here, we used well-established paradigms to relate motion perception and motion sickness on an individual level. We recruited 23 participants to complete a two-part experiment. In the first...
journal article 2021
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van der El, Kasper (author), Pool, D.M. (author), van Paassen, M.M. (author), Mulder, Max (author)
The 1960s crossover model is widely applied to quantitatively predict a human controller's (HC's) manual control behavior. Unfortunately, the theory captures only compensatory tracking behavior and, as such, a limited range of real-world manual control tasks. This article finalizes recent advances in manual control theory toward more general...
journal article 2020
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van der Ploeg, J.R. (author), Cleij, D. (author), Pool, D.M. (author), Mulder, Max (author), Bülthoff, Heinrich H. (author)
Despite gaining popularity, the use of Motion Cueing Algorithms (MCAs) based on Model Predictive Control (MPC) remains challenging due to the required tuning of a large number of cost function parameters. This paper investigates the effects of two critical MPC cost function parameters, the lateral specific force and roll rate error weights (Way...
conference paper 2020
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Cleij, D. (author), Pool, D.M. (author), Mulder, Max (author), Bülthoff, Heinrich H. (author)
In this paper the potential of Motion Incongruence Rating (MIR) models for the optimization of Motion Cueing Algorithms (MCAs) is investigated. In a human-in-the-loop simulator experiment, two optimization-based MCAs are compared for a roundabout scenario simulated on a medium-stroke hexapod simulator. The first MCA uses standard cueing error...
conference paper 2020
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Irmak, T. (author), Pool, D.M. (author), Happee, R. (author)
We investigated and modeled the temporal evolution of motion sickness in a highly dynamic sickening drive. Slalom maneuvers were performed in a passenger vehicle, resulting in lateral accelerations of 0.4 g at 0.2 Hz, to which participants were subjected as passengers for up to 30 min. Subjective motion sickness was recorded throughout the...
journal article 2020
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van der El, Kasper (author), Pool, D.M. (author), Mulder, Max (author)
Drivers rely on a variety of cues from different modalities while steering, but which exact cues are most important and how these different cues are used is still mostly unclear. The goal of our research project is to increase understanding of driver steering behavior; through a measuring and modeling approach we aim to extend the validity of...
journal article 2019
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Kolff, M.J.C. (author), van der El, Kasper (author), Pool, D.M. (author), van Paassen, M.M. (author), Mulder, Max (author)
The understanding of human responses to visual information in car driving tasks requires the use of system identification tools that put constraints on the design of data collection experiments. Most importantly, multisine perturbation signals are required, including a multisine road geometry, to separately identify the different driver...
journal article 2019
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Willems, M. (author), Pool, D.M. (author), van der El, Kasper (author), Damveld, H.J. (author), van Paassen, M.M. (author), Mulder, Max (author)
Human modelling approaches are typically limited to feedback-only, compensatory tracking tasks. Advances in system identification techniques allow us to consider more realistic tasks that involve feedforward and even precognitive control. In this paper we study the human development of a feedforward control response while learning to...
journal article 2019
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Huang, Y. (author), Pool, D.M. (author), Stroosma, O. (author), Chu, Q. P. (author)
High precision motion control of hydraulic manipulators is challenging due to the highly nonlinear dynamics and model uncertainties typical for hydraulic actuators. This paper addresses the implementation of a novel sensor-based incremental nonlinear dynamic inversion control technique for a high-precision hydraulic force controller in existence...
journal article 2019
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