NDLI: Modeling Individual Human Motor Behavior Through Model Reference Iterative Learning Control

Content Provider	IEEE Xplore Digital Library
Author	Shou-Han Zhou Oetomo, D. Ying Tan Burdet, E. Mareels, I.
Copyright Year	1964
Abstract	A computational model is proposed in this paper to capture learning capacity of a human subject adapting his or her movements in novel dynamics. The model uses an iterative learning control algorithm to represent human learning through repetitive processes. The control law performs adaptation using a model designed using experimental data captured from the natural behavior of the individual of interest. The control signals are used by a model of the body to produced motion without the need of inverse kinematics. The resulting motion behavior is validated against experimental data. This new technique yields the capability of subject-specific modeling of the motor function, with the potential to explain individual behavior in physical rehabilitation.
Sponsorship	IEEE Engineering in Medicine and Biology Society
Page Count	10
File Size	633141
Starting Page	1892
Ending Page	1901
File Format	PDF
ISSN	00189294
Volume Number	59
Issue Number	7
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computational modeling Humans Adaptation models Biological system modeling Trajectory Robots Aerospace electronics model reference iterative learning control (MRILC) Human motor computational model impedance control
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Human-Like Adaptation of Force and Impedance in Stable and Unstable Interactions

Effective Phase Tracking for Bioinspired Undulations of Robotic Fish Models: A Learning Control Approach

Stability and motor adaptation in human arm movements

Optimized Assistive Human–Robot Interaction Using Reinforcement Learning

An improved result of multiple model iterative learning control

Sparse-Grid-Based Adaptive Model Predictive Control of HL60 Cellular Differentiation

An iterative model predictive control algorithm for UAV guidance

Model reference adaptive impedance control for physical human-robot interaction

Multiscale Mathematical Modeling to Support Drug Development

Modeling Individual Human Motor Behavior Through Model Reference Iterative Learning Control

Similar Documents

Human-Like Adaptation of Force and Impedance in Stable and Unstable Interactions

Effective Phase Tracking for Bioinspired Undulations of Robotic Fish Models: A Learning Control Approach

Stability and motor adaptation in human arm movements

Optimized Assistive Human–Robot Interaction Using Reinforcement Learning

An improved result of multiple model iterative learning control

Sparse-Grid-Based Adaptive Model Predictive Control of HL60 Cellular Differentiation

An iterative model predictive control algorithm for UAV guidance

Model reference adaptive impedance control for physical human-robot interaction

Multiscale Mathematical Modeling to Support Drug Development

Modeling Individual Human Motor Behavior Through Model Reference Iterative Learning Control