Cargando…
Analytical-stochastic model of motor difficulty for three-dimensional manipulation tasks
Multiple models exist for the evaluation of human motor performance; some of these rely on the Index of Difficulty (ID), a measure to evaluate the difficulty associated to simple reaching tasks. Despite the numerous applications of the ID in reaching movements, the existing formulations are function...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581359/ https://www.ncbi.nlm.nih.gov/pubmed/36260600 http://dx.doi.org/10.1371/journal.pone.0276308 |
_version_ | 1784812606147526656 |
---|---|
author | Lucchese, Andrea Digiesi, Salvatore Mummolo, Carlotta |
author_facet | Lucchese, Andrea Digiesi, Salvatore Mummolo, Carlotta |
author_sort | Lucchese, Andrea |
collection | PubMed |
description | Multiple models exist for the evaluation of human motor performance; some of these rely on the Index of Difficulty (ID), a measure to evaluate the difficulty associated to simple reaching tasks. Despite the numerous applications of the ID in reaching movements, the existing formulations are functions of the geometrical features of the task and do not consider the motor behaviour of subjects performing repetitive movements in interaction with the environment. Variability of movements, length of trajectories, subject-specific strength and skill, and required interaction with the environment are all factors that contribute to the motor difficulty experienced by a moving agent (e.g., human, robot) as it repeatedly interacts with the environment during a given task (e.g., target-reaching movement, locomotion, etc.). A novel concept of motor difficulty experienced by an agent executing repetitive end-effector movements is presented in this study. A stochastic ID formulation is proposed that captures the abovementioned factors and applies to general three-dimensional motor tasks. Natural motor variability, inherent in the proposed model, is representative of the flexibility in motor synergies for a given agent-environment interaction: the smaller the flexibility, the greater the experienced difficulty throughout the movement. The quantification of experienced motor difficulty is demonstrated for the case of young healthy subjects performing three-dimensional arm movements during which different objects are manipulated. Results show that subjects’ experienced motor difficulty is influenced by the type of object. In particular, a difference in motor difficulty is observed when manipulating objects with different grasp types. The proposed model can be employed as a novel tool to evaluate the motor performance of agents involved in repetitive movements, such as in pick and place and manipulation, with application in both industrial and rehabilitation contexts. |
format | Online Article Text |
id | pubmed-9581359 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-95813592022-10-20 Analytical-stochastic model of motor difficulty for three-dimensional manipulation tasks Lucchese, Andrea Digiesi, Salvatore Mummolo, Carlotta PLoS One Research Article Multiple models exist for the evaluation of human motor performance; some of these rely on the Index of Difficulty (ID), a measure to evaluate the difficulty associated to simple reaching tasks. Despite the numerous applications of the ID in reaching movements, the existing formulations are functions of the geometrical features of the task and do not consider the motor behaviour of subjects performing repetitive movements in interaction with the environment. Variability of movements, length of trajectories, subject-specific strength and skill, and required interaction with the environment are all factors that contribute to the motor difficulty experienced by a moving agent (e.g., human, robot) as it repeatedly interacts with the environment during a given task (e.g., target-reaching movement, locomotion, etc.). A novel concept of motor difficulty experienced by an agent executing repetitive end-effector movements is presented in this study. A stochastic ID formulation is proposed that captures the abovementioned factors and applies to general three-dimensional motor tasks. Natural motor variability, inherent in the proposed model, is representative of the flexibility in motor synergies for a given agent-environment interaction: the smaller the flexibility, the greater the experienced difficulty throughout the movement. The quantification of experienced motor difficulty is demonstrated for the case of young healthy subjects performing three-dimensional arm movements during which different objects are manipulated. Results show that subjects’ experienced motor difficulty is influenced by the type of object. In particular, a difference in motor difficulty is observed when manipulating objects with different grasp types. The proposed model can be employed as a novel tool to evaluate the motor performance of agents involved in repetitive movements, such as in pick and place and manipulation, with application in both industrial and rehabilitation contexts. Public Library of Science 2022-10-19 /pmc/articles/PMC9581359/ /pubmed/36260600 http://dx.doi.org/10.1371/journal.pone.0276308 Text en © 2022 Lucchese et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Lucchese, Andrea Digiesi, Salvatore Mummolo, Carlotta Analytical-stochastic model of motor difficulty for three-dimensional manipulation tasks |
title | Analytical-stochastic model of motor difficulty for three-dimensional manipulation tasks |
title_full | Analytical-stochastic model of motor difficulty for three-dimensional manipulation tasks |
title_fullStr | Analytical-stochastic model of motor difficulty for three-dimensional manipulation tasks |
title_full_unstemmed | Analytical-stochastic model of motor difficulty for three-dimensional manipulation tasks |
title_short | Analytical-stochastic model of motor difficulty for three-dimensional manipulation tasks |
title_sort | analytical-stochastic model of motor difficulty for three-dimensional manipulation tasks |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581359/ https://www.ncbi.nlm.nih.gov/pubmed/36260600 http://dx.doi.org/10.1371/journal.pone.0276308 |
work_keys_str_mv | AT luccheseandrea analyticalstochasticmodelofmotordifficultyforthreedimensionalmanipulationtasks AT digiesisalvatore analyticalstochasticmodelofmotordifficultyforthreedimensionalmanipulationtasks AT mummolocarlotta analyticalstochasticmodelofmotordifficultyforthreedimensionalmanipulationtasks |