Understanding the variability of pointing tasks with event-driven intermittent control

Alvarez-Martin, J. A. , Doublein, T., Gollee, H. , Müller, J. and Murray-Smith, R. (2022) Understanding the variability of pointing tasks with event-driven intermittent control. IFAC-PapersOnLine, 55(30), pp. 323-328. (doi: 10.1016/j.ifacol.2022.11.073)

Abstract

Event-driven Intermittent control (IC) has been used as a framework to explain relevant aspects of human movement. The events, which are generated by states crossing predefined thresholds, give rise to state trajectories that mimic those of a continuous controller, by only using feedback information at event times. Here we present the results of using an optimisation approach to identify the parameters of an intermittent controller from experimental data, where users performed one dimensional mouse movements in a reciprocal pointing task. The results show that IC is able to reproduce both, the dynamical features and the variability of the pointing task across participants. We then introduce probabilistic elements in the IC framework in the form of Gaussian processes as an additional method to represent human movement variability.

• Item Type: Articles
• Additional Information: Funding support provided by EPSRC through grant EP/R018634/1 (Closedloop Data Science) and a PhD Scholarship.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Murray-Smith, Professor Roderick and Doublein, Mr Thomas and Gollee, Dr Henrik and Alvarez Martin, Mr Alberto
• Authors: Alvarez-Martin, J. A., Doublein, T., Gollee, H., Müller, J., and Murray-Smith, R.
• College/School: College of Science and Engineering > School of Computing Science; College of Science and Engineering > School of Engineering; College of Science and Engineering > School of Engineering > Biomedical Engineering
• Journal Name: IFAC-PapersOnLine
• Publisher: Elsevier
• ISSN: 2405-8963
• ISSN (Online): 2405-8963
• Published Online: 23 November 2022
• Copyright Holders: Copyright © 2022 The Authors
• First Published: First published in IFAC-PapersOnLine 55(30): 323-328
• Publisher Policy: Reproduced in accordance with the publisher copyright policy

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Project Code	Award No	Project Name	Principal Investigator	Funder's Name	Funder Ref	Lead Dept
300982		Exploiting Closed-Loop Aspects in Computationally and Data Intensive Analytics	Roderick Murray-Smith	Engineering and Physical Sciences Research Council (EPSRC)	EP/R018634/1	Computing Science