2011 IEEE International Conference on Systems, Man, and Cybernetics 2011
DOI: 10.1109/icsmc.2011.6083911
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Cancelling biodynamic feedthrough requires a subject and task dependent approach

Abstract: Vehicle accelerations may feed through the human body, causing involuntary limb motions which may lead to involuntary control inputs. This phenomenon is called biodynamic feedthrough (BDFT). Signal cancellation is a possible way of mitigating biodynamic feedthrough. It makes use of a BDFT model to estimate the involuntary control inputs. The BDFT effects are removed by subtracting the modeled estimate of the involuntary control input from the total control signal, containing both voluntary and involuntary comp… Show more

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Cited by 6 publications
(14 citation 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%
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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%
“…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%
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