Back to Search
Start Over
A phase dynamic model of systematic error in simple copying tasks
- Source :
- Biological cybernetics. 101(3)
- Publication Year :
- 2008
-
Abstract
- A crucial insight into handwriting dynamics is embodied in the idea that stable, robust handwriting movements correspond to attractors of an oscillatory dynamical system. We present a phase dynamic model of visuomotor performance involved in copying simple oriented lines. Our studies on human performance in copying oriented lines revealed a systematic error pattern in orientation of drawn lines, i.e., lines at certain orientation are drawn more accurately than at other values. Furthermore, human subjects exhibit "flips" in direction at certain characteristic orientations. It is argued that this flipping behavior has its roots in the fact that copying process is inherently ambiguous-a line of given orientation may be drawn in two different (mutually opposite) directions producing the same end result. The systematic error patterns seen in human copying performance is probably a result of the attempt of our visuomotor system to cope with this ambiguity and still be able to produce accurate copying movements. The proposed nonlinear phase-dynamic model explains the experimentally observed copying error pattern and also the flipping behavior with remarkable accuracy. � 2009 Springer-Verlag.
- Subjects :
- Central Nervous System
Male
Biped locomotion
Handwriting
Computer science
biological rhythm
nonlinear system
imitation
Dynamical systems
Attractor
Error patterns
Human subjects
media_common
Orientation (computer vision)
Process (computing)
artifact
movement (physiology)
Ambiguity
Visuomotor transformation
Motor Skills
motor performance
Line (geometry)
Visuomotors
Female
Artifacts
Algorithm
Algorithms
Oscillatory dynamical system
Biotechnology
Adult
General Computer Science
Oscillators (mechanical)
media_common.quotation_subject
Movement
Dynamical system
Young Adult
Biological Clocks
Humans
Nonlinear phase
Computer Simulation
human
algorithm
Copying
business.industry
Mathematical Concepts
Imitative Behavior
Human performance
Dynamic models
Nonlinear Dynamics
mathematical phenomena
physiology
Phase dynamics
Artificial intelligence
business
Nonlinear oscillators
Psychomotor Performance
Subjects
Details
- ISSN :
- 14320770
- Volume :
- 101
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- Biological cybernetics
- Accession number :
- edsair.doi.dedup.....c74675e647de43ddc3910de3832690d1