Open AccessHuman-Robot Interfaces in Exoskeletons for Gait Training after Stroke: State of the Art and Challenges
Author(s) -
Claude Lagoda,
Juan Carlos Moreno,
José L. Pons
Publication year - 2012
Publication title -
applied bionics and biomechanics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.397
H-Index - 23
eISSN - 1754-2103
pISSN - 1176-2322
DOI - 10.1155/2012/901483
Subject(s) - exoskeleton , robot , software portability , human–computer interaction , wearable computer , rehabilitation , task (project management) , gait , computer science , stroke (engine) , physical medicine and rehabilitation , simulation , engineering , artificial intelligence , physical therapy , medicine , systems engineering , embedded system , mechanical engineering , programming language
Robotic rehabilitation of CVA (stroke) survivors is an emerging field. However, the development of effective gait rehabilitation robots used to treat stroke survivors is and remains a challenging task. This article discusses existing approaches and gives an overview of limitations with existing wearable robots. Challenges and potential solutions are being discussed in this article. Most difficulties lie in the implementation of physical and cognitive human robot interfaces. Many issues like actuation principles, control strategies, portability and wearing comfort, such as correct determination of user intention and effective guidance have to be tackled in future designs. Different solutions are being proposed. Clever anthropometric design and smart brain computer interfaces are key factors in effective exoskeleton design.