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Conference Paper

Admittance-adaptive model-based cancellation of biodynamic feedthrough

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Venrooij,  J
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Bülthoff,  HH
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Venrooij, J., Mulder, M., Abbink, D., van Paassen, M., Mulder, M., van der Helm, F., et al. (2014). Admittance-adaptive model-based cancellation of biodynamic feedthrough. In IEEE International Conference on Systems, Man and Cybernetics (SMC 2014) (pp. 1946-1951). Piscataway, NJ, USA: IEEE.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0027-8084-8
Abstract
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.