Skip to main navigation
Skip to search
Skip to main content
Ben-Gurion University Research Portal Home
Help & FAQ
Home
Profiles
Research output
Research units
Prizes
Press/Media
Student theses
Activities
Research Labs / Equipment
Datasets
Projects
Search by expertise, name or affiliation
A model for learning human reaching movements
Amir Karniel, Gideon F. Inbar
Research output
:
Contribution to journal
›
Article
›
peer-review
74
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'A model for learning human reaching movements'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Nervous System
100%
Human Reaching Movement
100%
Reaching Movements
75%
Control Signal
50%
Pattern Generator
50%
Parameter Space
25%
Mathematical Model
25%
Minor Change
25%
Central Nervous System
25%
Workspace
25%
Speed Profile
25%
Control Problem
25%
Bell-shaped
25%
Motor Control
25%
Nonlinearity
25%
Ballistic
25%
Muscle Model
25%
Two-degree-of-freedom
25%
Nonlinear Properties
25%
Systemability
25%
Parameter Dependence
25%
Fast Movement
25%
Excitation Pulses
25%
Simple Control
25%
Rectangular Pulse
25%
Human Arm
25%
Feedforward Controller
25%
Learning Scheme
25%
Sensitivity Model
25%
Hill Function
25%
Forearm Model
25%
Planar Manipulator
25%
Point Coordinates
25%
Straight Path
25%
Artificial Neural Nets
25%
Musculoskeletal Dynamics
25%
Nonlinear Mechanical Model
25%
Engineering
Control Signal
100%
Pattern Generator
100%
Mathematical Model
50%
Feedforward
50%
Initial Condition
50%
Parameter Space
50%
Endpoint
50%
Nonlinearity
50%
Model System
50%
Degree of Freedom
50%
Mechanical Model
50%
Main Characteristic
50%
Minor Change
50%
Rectangular Pulse
50%
Learning Scheme
50%
Planar Manipulator
50%
Muscle Model
50%
Straight Path
50%