Modeling and motor learning of reaching movements in virtual environments

Mikhail Mikhailovich Svinin; I. Goncharenko; S. Hosoe; Y. Kanou

doi:10.1109/ICCME.2007.4381949

Modeling and motor learning of reaching movements in virtual environments

Mikhail Mikhailovich Svinin, I. Goncharenko, S. Hosoe, Y. Kanou

Faculty of Engineering

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

1 Citation (Scopus)

Abstract

The paper presents an analysis of human reaching movements in manipulation of flexible objects. To predict the trajectory of human hand we resort to two models, the lowest polynomial order model for the hand movement and the minimum hand jerk model. First, we derive analytical solulions for these models for the dynamic environmenl represented by a multi-mass linear flexible object. Then, we present initial experimental results. It is shown that the lowest polynomial order model does not hit with the experimental data while the prediction by the minimum hand jerk criterion matches the experimental patterns with reasonable accuracy.

Original language	English
Title of host publication	2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007
Pages	1277-1284
Number of pages	8
DOIs	https://doi.org/10.1109/ICCME.2007.4381949
Publication status	Published - Dec 1 2007
Event	2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007 - Beijing, China Duration: May 23 2007 → May 27 2007

Other

Other	2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007
Country/Territory	China
City	Beijing
Period	5/23/07 → 5/27/07

All Science Journal Classification (ASJC) codes

Biomedical Engineering
Medicine(all)

Access to Document

10.1109/ICCME.2007.4381949

Cite this

Svinin, MM, Goncharenko, I, Hosoe, S & Kanou, Y 2007, Modeling and motor learning of reaching movements in virtual environments. in 2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007., 4381949, pp. 1277-1284, 2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007, Beijing, China, 5/23/07. https://doi.org/10.1109/ICCME.2007.4381949

@inproceedings{e91a004d7eb54315856b5a2daae0ac74,

title = "Modeling and motor learning of reaching movements in virtual environments",

abstract = "The paper presents an analysis of human reaching movements in manipulation of flexible objects. To predict the trajectory of human hand we resort to two models, the lowest polynomial order model for the hand movement and the minimum hand jerk model. First, we derive analytical solulions for these models for the dynamic environmenl represented by a multi-mass linear flexible object. Then, we present initial experimental results. It is shown that the lowest polynomial order model does not hit with the experimental data while the prediction by the minimum hand jerk criterion matches the experimental patterns with reasonable accuracy.",

author = "Svinin, {Mikhail Mikhailovich} and I. Goncharenko and S. Hosoe and Y. Kanou",

year = "2007",

month = dec,

day = "1",

doi = "10.1109/ICCME.2007.4381949",

language = "English",

isbn = "1424410789",

pages = "1277--1284",

booktitle = "2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007",

note = "2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007 ; Conference date: 23-05-2007 Through 27-05-2007",

}

TY - GEN

T1 - Modeling and motor learning of reaching movements in virtual environments

AU - Svinin, Mikhail Mikhailovich

AU - Goncharenko, I.

AU - Hosoe, S.

AU - Kanou, Y.

PY - 2007/12/1

Y1 - 2007/12/1

N2 - The paper presents an analysis of human reaching movements in manipulation of flexible objects. To predict the trajectory of human hand we resort to two models, the lowest polynomial order model for the hand movement and the minimum hand jerk model. First, we derive analytical solulions for these models for the dynamic environmenl represented by a multi-mass linear flexible object. Then, we present initial experimental results. It is shown that the lowest polynomial order model does not hit with the experimental data while the prediction by the minimum hand jerk criterion matches the experimental patterns with reasonable accuracy.

AB - The paper presents an analysis of human reaching movements in manipulation of flexible objects. To predict the trajectory of human hand we resort to two models, the lowest polynomial order model for the hand movement and the minimum hand jerk model. First, we derive analytical solulions for these models for the dynamic environmenl represented by a multi-mass linear flexible object. Then, we present initial experimental results. It is shown that the lowest polynomial order model does not hit with the experimental data while the prediction by the minimum hand jerk criterion matches the experimental patterns with reasonable accuracy.

UR - http://www.scopus.com/inward/record.url?scp=48149090518&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=48149090518&partnerID=8YFLogxK

U2 - 10.1109/ICCME.2007.4381949

DO - 10.1109/ICCME.2007.4381949

M3 - Conference contribution

AN - SCOPUS:48149090518

SN - 1424410789

SN - 9781424410781

SP - 1277

EP - 1284

BT - 2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007

T2 - 2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007

Y2 - 23 May 2007 through 27 May 2007

ER -

Modeling and motor learning of reaching movements in virtual environments

Abstract

Other

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this