Identifying time-varying neuromuscular system with a recursive least-squares algorithm: A Monte-Carlo simulation study

Mario Olivari; Frank M. Nieuwenhuizen; Heinrich Bulthoff; Lorenzo Pollini

doi:10.1109/smc.2014.6974484

Identifying time-varying neuromuscular system with a recursive least-squares algorithm: A Monte-Carlo simulation study

Mario Olivari, Frank M. Nieuwenhuizen, Heinrich Bulthoff, Lorenzo Pollini

Department of Brain and Cognitive Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Citations (Scopus)

Abstract

A human-centered design of haptic aids aims at tuning the force feedback based on the effect it has on human behavior. For this goal, a better understanding of the influence of haptic aids on the pilot neuromuscular response becomes crucial. In realistic scenarios, the neuromuscular response can continuously vary depending on many factors, such as environmental factors or pilot fatigue. This paper presents a method that online estimates time-varying neuromuscular dynamics during force-related tasks. This method is based on a Recursive Least Squares (RLS) algorithm and assumes that the neuromuscular response can be approximated by a Finite Impulse Response filter. The reliability and the robustness of the method were investigated by performing a set of Monte-Carlo simulations with increasing level or remnant noise. Even with high level of remnant noise, the RLS algorithm provided accurate estimates when the neuromuscular dynamics were constant or changed slowly. With instantaneous changes, the RLS algorithm needed almost 8s to converge to a reliable estimate. These results seem to indicate that RLS algorithm is a valid tool for estimating online time-varying admittance.

Original language	English
Title of host publication	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3573-3578
Number of pages	6
Volume	2014-January
Edition	January
DOIs	https://doi.org/10.1109/smc.2014.6974484
Publication status	Published - 2014
Event	2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014 - San Diego, United States Duration: 2014 Oct 5 → 2014 Oct 8

Other

Other	2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014
Country/Territory	United States
City	San Diego
Period	14/10/5 → 14/10/8

ASJC Scopus subject areas

Electrical and Electronic Engineering
Control and Systems Engineering
Human-Computer Interaction

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/smc.2014.6974484

Cite this

Olivari, M., Nieuwenhuizen, F. M., Bulthoff, H., & Pollini, L. (2014). Identifying time-varying neuromuscular system with a recursive least-squares algorithm: A Monte-Carlo simulation study. In Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics (January ed., Vol. 2014-January, pp. 3573-3578). Article 6974484 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/smc.2014.6974484

Identifying time-varying neuromuscular system with a recursive least-squares algorithm: A Monte-Carlo simulation study. / Olivari, Mario; Nieuwenhuizen, Frank M.; Bulthoff, Heinrich et al.
Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics. Vol. 2014-January January. ed. Institute of Electrical and Electronics Engineers Inc., 2014. p. 3573-3578 6974484.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Olivari, M, Nieuwenhuizen, FM, Bulthoff, H & Pollini, L 2014, Identifying time-varying neuromuscular system with a recursive least-squares algorithm: A Monte-Carlo simulation study. in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics. January edn, vol. 2014-January, 6974484, Institute of Electrical and Electronics Engineers Inc., pp. 3573-3578, 2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014, San Diego, United States, 14/10/5. https://doi.org/10.1109/smc.2014.6974484

Olivari M, Nieuwenhuizen FM, Bulthoff H, Pollini L. Identifying time-varying neuromuscular system with a recursive least-squares algorithm: A Monte-Carlo simulation study. In Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics. January ed. Vol. 2014-January. Institute of Electrical and Electronics Engineers Inc. 2014. p. 3573-3578. 6974484 doi: 10.1109/smc.2014.6974484

Olivari, Mario ; Nieuwenhuizen, Frank M. ; Bulthoff, Heinrich et al. / Identifying time-varying neuromuscular system with a recursive least-squares algorithm : A Monte-Carlo simulation study. Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics. Vol. 2014-January January. ed. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 3573-3578

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Identifying time-varying neuromuscular system with a recursive least-squares algorithm: A Monte-Carlo simulation study

Abstract

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ASJC Scopus subject areas

UN SDGs

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