HRI
Therapist-mediated post-stroke rehabilitation using haptic/graphic error augmentation
Sanika Rozario, Sarah J. Housman, Mark Kovic, Robert V. Kenyon, James L. Patton
- Year
- 2009
- Citations
- 29
Abstract
Recent research has suggested that enhanced retraining for stroke patients using haptics (robotic forces) and graphics (visual display) to generate a practice environment that can artificially enhance error rather than reducing it, can stimulate new learning and foster accelerated recovery. We present an evaluation of early results of this novel post-stroke robotic-aided therapy trial that incorporates these ideas in a large VR system and simultaneously employs the patient, the therapist, and the technology to accomplish effective therapy.
Keywords
Haptic technologyRetrainingComputer scienceRehabilitationHuman–computer interactionGraphicsStroke (engine)RobotPhysical medicine and rehabilitationArtificial intelligence
Related papers
OTHER
📊 26,957 cites
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 cites
Artificial intelligence: a modern approach
1995
OTHER
📊 18,993 cites
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
SWARM
📊 14,853 cites
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002