Preliminary results of BRAVO project: Brain computer interfaces for Robotic enhanced Action in Visuo-motOr tasks

This paper presents the preliminary results of the project BRAVO (Brain computer interfaces for Robotic enhanced Action in Visuo-motOr tasks). The objective of this project is to define a new approach to the development of assistive and rehabilitative robots for motor impaired users to perform complex visuomotor tasks that require a sequence of reaches, grasps and manipulations of objects. BRAVO aims at developing new robotic interfaces and HW/SW architectures for rehabilitation and regain/restoration of motor function in patients with upper limb sensorimotor impairment through extensive rehabilitation therapy and active assistance in the execution of Activities of Daily Living. The final system developed within this project will include a robotic arm exoskeleton and a hand orthosis that will be integrated together for providing force assistance. The main novelty that BRAVO introduces is the control of the robotic assistive device through the active prediction of intention/action. The system will actually integrate the information about the movement carried out by the user with a prediction of the performed action through an interpretation of current gaze of the user (measured through eye-tracking), brain activation (measured through BCI) and force sensor measurements.

[1]  Rogers Jc,et al.  Traumatic quadriplegia: follow-up study of self-care skills. , 1980 .

[2]  S.C. Cramer,et al.  A robotic device for hand motor therapy after stroke , 2005, 9th International Conference on Rehabilitation Robotics, 2005. ICORR 2005..

[3]  Andreas Wege,et al.  Development and control of a hand exoskeleton for rehabilitation of hand injuries , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[4]  L.S. Cardoso,et al.  Using Virtual Environments for Stroke Rehabilitation , 2006, 2006 International Workshop on Virtual Rehabilitation.

[5]  Vincenzo Parenti Castelli,et al.  A Study on the Rehabilitation Hand Exoskeletons , 2010 .

[6]  K. Mauritz,et al.  Repetitive training of isolated movements improves the outcome of motor rehabilitation of the centrally paretic hand , 1995, Journal of the Neurological Sciences.

[7]  Antonio Frisoli,et al.  A new force-feedback arm exoskeleton for haptic interaction in virtual environments , 2005, First Joint Eurohaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems. World Haptics Conference.

[8]  T. Olsen,et al.  Arm and leg paresis as outcome predictors in stroke rehabilitation. , 1990, Stroke.

[9]  Shugen Ma,et al.  Dynamic control of curve-constrained hyper-redundant manipulators , 2001, Proceedings 2001 IEEE International Symposium on Computational Intelligence in Robotics and Automation (Cat. No.01EX515).

[10]  Massimo Bergamasco,et al.  Mechanical design of a novel Hand Exoskeleton for accurate force displaying , 2009, 2009 IEEE International Conference on Robotics and Automation.

[11]  D. Reinkensmeyer,et al.  Review of control strategies for robotic movement training after neurologic injury , 2009, Journal of NeuroEngineering and Rehabilitation.

[12]  Maarten J. IJzerman,et al.  Systematic review of the effect of robot-aided therapy on recovery of the hemiparetic arm after stroke. , 2006, Journal of rehabilitation research and development.

[13]  Antonio Frisoli,et al.  An online trajectory planning method for visually guided assisted reaching through a rehabilitation robot , 2011, 2011 IEEE International Conference on Robotics and Automation.

[14]  G.C. Burdea,et al.  Virtual reality-enhanced stroke rehabilitation , 2001, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[15]  E. Burdet,et al.  Robot-assisted rehabilitation of hand function. , 2010, Current opinion in neurology.

[16]  G. Gini,et al.  An EMG-controlled exoskeleton for hand rehabilitation , 2005, 9th International Conference on Rehabilitation Robotics, 2005. ICORR 2005..

[17]  Marco Ceccarelli,et al.  Designing an underactuated mechanism for a 1 active DOF finger operation , 2009 .

[18]  Yoky Matsuoka,et al.  An EMG-Controlled Hand Exoskeleton for Natural Pinching , 2004, J. Robotics Mechatronics.

[19]  Younbo Jung,et al.  Pilot Trial Results from a Virtual Reality System Designed to Enhance Recovery of Skilled Arm and Hand Movements after Stroke , 2006, 2006 International Workshop on Virtual Rehabilitation.

[20]  A. Eagger Rehabilitation , 1960 .

[21]  R. Leigh,et al.  The neurology of eye movements , 1984 .

[22]  L. Diller Poststroke Rehabilitation Practice Guidelines , 2000 .