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          Institute: MPI für biologische Kybernetik     Collection: Biologische Kybernetik     Display Documents

ID: 595905.0, MPI für biologische Kybernetik / Biologische Kybernetik
Cancelling biodynamic feedthrough requires a subject and task dependent approach
Authors:Venrooij, J; Mulder, M; van Paassen, MM; Abbink, DA; Bülthoff, HH; Mulder, M
Place of Publication:Anchorage, AK, USA
Date of Publication (YYYY-MM-DD):2011-10-01
Title of Proceedings:IEEE International Conference on Systems, Man and Cybernetics (SMC 2011)
Start Page:1670
End Page:1675
Physical Description:5
Audience:Not Specified
Intended Educational Use:No
Abstract / Description: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 components. The success of signal cancellation hinges on the accuracy of the BDFT model used. In this study the potential of signal cancellation is studied by making use of a method called optimal signal cancellation. Here, an identified BDFT model is used off-line to generate an estimate of the involuntary control inputs based on the accelerations present. Results show that reliable signal cancellation requires BDFT models that are both subject and task dependent. The task dependency is of particular importance: failing to adapt the model to changes in the operator's neuromuscular dynamics dramatically decreases the quality of cancellation and can even lead to an increase in unwanted effects. As a reliable and fast on-line identification method of the neuromuscular dynamics of the human operator currently does not exist, real-time signal cancellation is currently not feasible.
External Publication Status:published
Document Type:Conference-Paper
Communicated by:Holger Fischer
Affiliations:MPI für biologische Kybernetik/Psychophysics (Dept. Bülthoff)
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