Cancelling biodynamic feedthrough requires a subject and task dependent approach

Venrooij, Joost; Mulder, M.; Paassen, M. M. van; Abbink, David A.; Bülthoff, Heinrich H.

doi:10.1109/icsmc.2011.6083911

Cited by 6 publications

(14 citation statements)

References 15 publications

(16 reference statements)

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“…The model parameters for the three different somatotypes were presented here, however the authors would like to stress that a structural influence of somatotype on BDFT dynamics is absent. From the results it has become apparent, though, that neuromuscular admittance does have a clear influence on BDFT and definitely needs to be accounted for (see also [22]). …”

Section: Influence Of Somatotypesmentioning

confidence: 99%

“…The results showed a strong dependency of BDFT dynamics on admittance, which itself is depending on the control task performed or the control strategy selected by the pilot [21]. With the results of this method it was also shown that effective cancellation of BDFT requires a subject-and task-dependent approach, i.e., accounting for both between-and within-subject variability [22]. Simulations suggest that not accounting for either of them leads to suboptimal control actions or even a complete failure of the cancellation.…”

Section: Introductionmentioning

confidence: 99%

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A practical biodynamic feedthrough model for helicopters

et al. 2013

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Biodynamic feedthrough (BDFT) occurs when vehicle vibrations and accelerations feed through the pilot's body and cause involuntary motion of limbs, resulting in involuntary control inputs. BDFT can severely reduce ride comfort, control accuracy and, above all, safety during the operation of rotorcraft. Furthermore, BDFT can cause and sustain Rotorcraft-Pilot Couplings (RPCs). Despite many studies conducted in past decades -both within and outside of the rotorcraft community -BDFT is still a poorly understood phenomenon. The complexities involved in BDFT have kept researchers and manufacturers in the rotorcraft domain from developing robust ways of dealing with its effects. A practical BDFT pilot model, describing the amount of involuntary control inputs as a function of accelerations, could pave the way to account for adversive BDFT effects. In the current paper, such a model is proposed. Its structure is based on the model proposed by Mayo [1], its accuracy and usability are improved by incorporating insights from recently obtained experimental data. An evaluation of the model performance shows that the model describes the measured data well and that it provides a considerable improvement to the original Mayo model. Furthermore, the results indicate that the neuromuscular dynamics have an important influence on the BDFT model parameters.

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Section: Influence Of Somatotypesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A practical biodynamic feedthrough model for helicopters

et al. 2013

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“…The quality of the cancellation was evaluated using a cancellation percentage, introduced in [10]. The percentage gives an indication for how much of the involuntary control inputs were canceled.…”

Section: ) Cancellation Metricmentioning

confidence: 99%

“…Using the same operation the components of θ in (t), the signal obtained after subtracting θ mod B2P (t), can be obtained. The cancellation percentage P can was introduced in [10] as the ratio of the root-mean-square (RMS) of θ M dist in and θ M dist cd , which are the M dist component before and after the cancellation was applied:…”

Section: ) Cancellation Metricmentioning

confidence: 99%

“…The human body dynamics vary between persons, for example due to different body sizes and weights, and also within one person over time. For a successful mitigation of BDFT, these variabilities must be understood and accounted for [10], [11]. The mitigation approach proposed in this paper is model-based, implying that it relies on a model to 'predict' the involuntary BDFT induced control inputs.…”

Section: Introductionmentioning

confidence: 99%

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Admittance-adaptive model-based cancellation of biodynamic feedthrough

Venrooij

Mulder

Abbink

et al. 2014

2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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Biodynamic feedthrough (BDFT) is the feedthrough of vehicle accelerations through the human body, leading to involuntary control device inputs. BDFT is a relevant problem as it reduces control performance in a large range of vehicles under various circumstances. This paper proposes an approach to mitigate BDFT. What differentiates this method from other mitigation approaches is that it accounts for adaptations in the neuromuscular dynamics of the human body. It is known that BDFT is strongly dependent on these dynamics. The approach was tested, as proof-of-concept, in an experiment in a motion simulator where participants were asked to fly a simulated vehicle through a virtual tunnel. By evaluating the performance with and without motion disturbance active and with and without cancellation active, the performance of the cancellation approach was evaluated. Results showed that the cancellation approach was successful. The detrimental effects of BDFT, such as a decrease in control performance and increase in control effort, were largely removed

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Mitigation of Biodynamic Feedthrough for Touchscreens on the Flight Deck

Khoshnewiszadeh

Pool

2021

International Journal of Human–Computer Interaction

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Biodynamic feedthrough (BDFT) is a key issue for touchscreen operations on the future flight deck, as cockpit accelerations due to turbulence leave pilots vulnerable to erroneous touches that disrupt task performance. This research focuses on the implementation of a software-based cancellation approach to mitigate the adverse effects of BDFT in touchscreen dragging tasks. A flight-simulator experiment with 18 participants was performed to estimate models of BDFT dynamics for horizontal and vertical touchinputs on a primary flight display. The averaged BDFT models were used to cancel BDFT in the same continuous dragging task used for model identification and a discrete point-to-point dragging task. While for the continuous task the cancellation enabled 63% mitigation in BDFT, the same cancellation was ineffective for the discrete task, due to reduced BDFT susceptibility. Overall, the results show that while model-based BDFT cancellation can be highly effective, a key technical challenge will be ensuring it is sufficiently task-adaptive.

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Cancelling biodynamic feedthrough requires a subject and task dependent approach

Cited by 6 publications

References 15 publications

A practical biodynamic feedthrough model for helicopters

A practical biodynamic feedthrough model for helicopters

Admittance-adaptive model-based cancellation of biodynamic feedthrough

Mitigation of Biodynamic Feedthrough for Touchscreens on the Flight Deck

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