Robotic solutions to facilitate studying human motor control

Ahmed Ramadan; Jongeun Choi; Clark J. Radcliffe; Jacek Cholewicki; N. Peter Reeves; John M. Popovich

doi:10.1109/URAI.2017.7992704

Robotic solutions to facilitate studying human motor control

Ahmed Ramadan, Jongeun Choi, Clark J. Radcliffe, Jacek Cholewicki, N. Peter Reeves, John M. Popovich

Department of Mechanical Engineering

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

1 Citation (Scopus)

Abstract

Studying human motor control requires innovative engineering solutions including robots. For example, the motor control task(s) must be reliable before using system identification (SYSID) tools to estimate any motor control descriptors, e.g. neurophysiological parameters. Robots can improve the experiment reliability in contrast to passive devices, e.g. seated balance on a hemisphere. First, we present some novel physical human-robot interaction (pHRI) tasks in the biomechanics field. Then, we show how one pHRI can achieve excellent reliability measures. Moreover, robots can allow the use a wide variety of input/perturbation signals that may be designed specifically for better SYSID results, such as better estimation error variance. With standard signals, however, further analysis is required to improve the SYSID outcomes. Therefore, we devised an analysis method based on Fisher information to reduce the estimation error variance.

Original language	English
Title of host publication	2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	174-178
Number of pages	5
ISBN (Electronic)	9781509030552
DOIs	https://doi.org/10.1109/URAI.2017.7992704
Publication status	Published - 2017 Jul 25
Event	14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017 - Jeju, Korea, Republic of Duration: 2017 Jun 28 → 2017 Jul 1

Publication series

Name	2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017

Other

Other	14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017
Country	Korea, Republic of
City	Jeju
Period	17/6/28 → 17/7/1

Bibliographical note

Funding Information:
This publication was made possible in part by grant number U19 AT006057 from the National Center for Complementary and Integrative Health (NCCIH) at the National Institutes of Health. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of NCCIH.

All Science Journal Classification (ASJC) codes

Computer Science Applications
Biomedical Engineering
Artificial Intelligence
Human-Computer Interaction
Control and Optimization

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Cite this

Ramadan, A., Choi, J., Radcliffe, C. J., Cholewicki, J., Peter Reeves, N., & Popovich, J. M. (2017). Robotic solutions to facilitate studying human motor control. In 2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017 (pp. 174-178). [7992704] (2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/URAI.2017.7992704

Ramadan, Ahmed ; Choi, Jongeun ; Radcliffe, Clark J. ; Cholewicki, Jacek ; Peter Reeves, N. ; Popovich, John M. / Robotic solutions to facilitate studying human motor control. 2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 174-178 (2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017).

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abstract = "Studying human motor control requires innovative engineering solutions including robots. For example, the motor control task(s) must be reliable before using system identification (SYSID) tools to estimate any motor control descriptors, e.g. neurophysiological parameters. Robots can improve the experiment reliability in contrast to passive devices, e.g. seated balance on a hemisphere. First, we present some novel physical human-robot interaction (pHRI) tasks in the biomechanics field. Then, we show how one pHRI can achieve excellent reliability measures. Moreover, robots can allow the use a wide variety of input/perturbation signals that may be designed specifically for better SYSID results, such as better estimation error variance. With standard signals, however, further analysis is required to improve the SYSID outcomes. Therefore, we devised an analysis method based on Fisher information to reduce the estimation error variance.",

author = "Ahmed Ramadan and Jongeun Choi and Radcliffe, {Clark J.} and Jacek Cholewicki and {Peter Reeves}, N. and Popovich, {John M.}",

note = "Funding Information: This publication was made possible in part by grant number U19 AT006057 from the National Center for Complementary and Integrative Health (NCCIH) at the National Institutes of Health. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of NCCIH.; 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017 ; Conference date: 28-06-2017 Through 01-07-2017",

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Ramadan, A, Choi, J, Radcliffe, CJ, Cholewicki, J, Peter Reeves, N & Popovich, JM 2017, Robotic solutions to facilitate studying human motor control. in 2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017., 7992704, 2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017, Institute of Electrical and Electronics Engineers Inc., pp. 174-178, 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017, Jeju, Korea, Republic of, 17/6/28. https://doi.org/10.1109/URAI.2017.7992704

Robotic solutions to facilitate studying human motor control. / Ramadan, Ahmed; Choi, Jongeun; Radcliffe, Clark J.; Cholewicki, Jacek; Peter Reeves, N.; Popovich, John M.

2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 174-178 7992704 (2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017).

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

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N1 - Funding Information: This publication was made possible in part by grant number U19 AT006057 from the National Center for Complementary and Integrative Health (NCCIH) at the National Institutes of Health. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of NCCIH.

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N2 - Studying human motor control requires innovative engineering solutions including robots. For example, the motor control task(s) must be reliable before using system identification (SYSID) tools to estimate any motor control descriptors, e.g. neurophysiological parameters. Robots can improve the experiment reliability in contrast to passive devices, e.g. seated balance on a hemisphere. First, we present some novel physical human-robot interaction (pHRI) tasks in the biomechanics field. Then, we show how one pHRI can achieve excellent reliability measures. Moreover, robots can allow the use a wide variety of input/perturbation signals that may be designed specifically for better SYSID results, such as better estimation error variance. With standard signals, however, further analysis is required to improve the SYSID outcomes. Therefore, we devised an analysis method based on Fisher information to reduce the estimation error variance.

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Ramadan A, Choi J, Radcliffe CJ, Cholewicki J, Peter Reeves N, Popovich JM. Robotic solutions to facilitate studying human motor control. In 2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 174-178. 7992704. (2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017). https://doi.org/10.1109/URAI.2017.7992704