Searched for: subject%3A%22manual%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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Dialynas, G. (author), Christoforidis, Christos (author), Happee, R. (author), Schwab, A.L. (author)
Experiments and human rider models were used to investigate bicycle balance and steering using visuo/vestibular motion and proprioceptive feedback taking into account sensory delays. An instrumented steer-by-wire bicycle designed and built at the TU Delft bicycle laboratory was used to investigate rider responses with and with reduced...
journal article 2022
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Ji, Yiran (author), Zheng, Feifei (author), Du, Jiawen (author), Huang, Yuan (author), Bi, Weiwei (author), Duan, Huan Feng (author), Savic, Dragan (author), Kapelan, Z. (author)
Most of the contamination source localization methods for water distribution systems (WDSs) assume the availability of accurate water quality models and multi-parameter online sensors, which are often out of reach of many water utilities. To address this, a novel manual grab-sampling method (MGSM) is developed to effectively and efficiently...
journal article 2022
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Mulder, Max (author), Pool, D.M. (author), van der El, Kasper (author), van Paassen, M.M. (author)
Mathematical human control models are widely used in tuning manual control systems and understanding human performance. Human behavior is commonly described using linear time-invariant models, averaging-out all non-linear and time-varying effects, which are gathered into the remnant. These models are limited in their capability to capture...
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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de Jong, M.A. (author), Pool, D.M. (author), Mulder, Max (author)
Mathematical human controller (HC) models are widely used in tuning manual control systems and for understanding human performance. Typically, quasi-linear HC models are used, which can accurately capture the linear portion of HCs' behavior, averaged over a long measurement window. This paper presents a deep learning HC skill-level evaluation...
journal article 2022
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van Ham, Jacomijn M. (author), Pool, D.M. (author), Mulder, Max (author)
This paper presents the results of an experiment that was performed to verify the 'supervisory control algorithm', a well-known model of human operator adaptation to changes in controlled element dynamics. This model proposes that human adaptive behavior is triggered once the magnitudes of the tracking error or error rate exceed certain...
journal article 2022
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Sun, Jing (author), Paasch, Jesper M. (author), Paulsson, Jenny (author), Tarandi, Väino (author), Harrie, Lars (author)
With the increased interest and demand for 3D property, 3D property formation has shown increased significance. It is important to provide efficient, clear and unambiguous methods to form 3D property units, as well as register 3D property RRRs (rights, restrictions and responsibilities). The 3D property formation process should facilitate...
conference paper 2021
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Olindo, Roberta (author), Schmitt, Nathalie (author), Vogtländer, J.G. (author)
LCAs of electric cars and electrolytic hydrogen production are governed by the consumption of electricity. Therefore, LCA benchmarking is prone to choices on electricity data. There are four issues: (1) leading Life Cycle Impact (LCI) databases suffer from inconvenient uncertainties and inaccuracies, (2) electricity mix in countries is...
journal article 2021
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Bazilinskyy, P. (author), Sakuma, Tsuyoshi (author), de Winter, J.C.F. (author)
An important question in the development of automated vehicles (AVs) is which driving style AVs should adopt and how other road users perceive them. The current study aimed to determine which AV behaviours contribute to pedestrians' judgements as to whether the vehicle is driving manually or automatically as well as judgements of likeability....
journal article 2021
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van Baelen, D. (author)
Improving the safety level of aviation is vital to prevent serious accidents. One key area where improvements can be made is the prevention of loss of control occurrences, by preventing the aircraft state to pass beyond the limits from which no recovery is possible. Such improvements can focus on improved monitoring of the main flight parameters...
doctoral thesis 2020
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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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Dan, Sebastian (author), Altomare, Corrado (author), Suzuki, T. (author), Spiesschaert, Tim (author), Verwaest, Toon (author)
Physical model experiments were conducted in a wave tank at Flanders Hydraulics Research, Antwerp, Belgium, to characterize the wave overtopping and impact force on vertical quay walls and sloping sea dike (1:2.5) under very oblique wave attack (angle between 45° and 80°). This study was triggered by the scarce scientific literature on the...
journal article 2020
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Castellucci, Héctor (author), Viviani, Carlos (author), Arezes, Pedro (author), Molenbroek, J.F.M. (author), Martínez, Marta (author), Aparici, Verónica (author), Dianat, I. (author)
Anthropometry has been used extensively for designing safe and sustainable products and workplaces. However, it is common that designers need straightforward guidelines and dimensions, which they often lack, for specific design situations. Anthropometric data are usually presented in tables that summarize percentile values, separated by...
journal article 2020
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Fu, W. (author)
At present, the rapid development of automation technologies allows robots remarkable precision and endurance, as well as the strength in accomplishing repetitive tasks. Despite this, manual control is still indispensable in many domains where robots and humans play complementary roles, as humans demonstrate superior competence in improvisation...
doctoral thesis 2019
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Rojer, Jim (author), Pool, D.M. (author), van Paassen, M.M. (author), Mulder, Max (author)
This paper describes a novel method for time-varying identification of Human Controller (HC) manual control parameters (called UKF-FPV), based on a steady-state (constant state covariance) Unscented Kalman Filter (UKF). This approach requires no a priori assumptions on the shape of HC parameter variations, which is a potential advantage over...
journal article 2019
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Mulder, Max (author), Pool, D.M. (author), van der El, Kasper (author), Drop, F.M. (author), van Paassen, M.M. (author)
Mathematical control models are widely used in tuning manual control systems and understanding human performance. The most common model, the crossover model, is severely limited, however, in describing realistic human control behaviour in relevant control tasks as it is only valid for tracking with a compensatory display. This paper first...
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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Barendswaard, S. (author), Pool, D.M. (author), van Paassen, M.M. (author), Mulder, Max (author)
Vehicle control tasks require simultaneous control of multiple degrees-of-freedom. Most multi-axis human-control modeling is limited to the modeling of multiple fully independent single axes. This paper contributes to the understanding of multi-axis control behavior and draws a more realistic and complete picture of dual-axis manual control....
journal article 2019
Searched for: subject%3A%22manual%22
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