IMU-based assistance modulation in upper limb soft wearable exosuits

Soft exosuits have advantages over their rigid counterparts in terms of portability, transparency and ergonomics. Our previous work has shown that a soft, fabric-based exosuit, actuated by an electric motor and a Bowden cable, reduced the muscular effort of the user when flexing the elbow. This previous exosuit used a gravity compensation algorithm with the assumption that the shoulder was adducted at the trunk. In this investigation, the shoulder elevation angle was incorporated into the gravity compensation control via inertial measurement units (IMUs). We assessed our updated gravity compensation model with four healthy, male subjects (age: $26.2 \pm 1.19$ years) who followed an elbow flexion reference trajectory which reached three amplitudes $(25^{\circ}, 50^{\circ}, 75^{\circ})$ and was repeated at three shoulder angles $(25^{\circ}, 50^{\circ}, 75^{\circ})$. To assess the performance of the exosuit; the smoothness, tracking accuracy and muscle activity were investigated during each motion. We found a reduction of biceps brachii activation (24.3%) in the powered condition compared to the unpowered condition. In addition, there was an improvement in kinematic smoothness (0.83%) and a reduction of tracking accuracy (26.5%) in the powered condition with respect to the unpowered condition. We can conclude that the updated gravity compensation algorithm has increased the number of supported movements by considering the shoulder elevation, which has improved the usability of the device.

[1]  Leonardo Cappello,et al.  Design and preliminary characterization of a soft wearable exoskeleton for upper limb , 2016, 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob).

[2]  M. Bergamasco,et al.  Positive effects of robotic exoskeleton training of upper limb reaching movements after stroke , 2012, Journal of NeuroEngineering and Rehabilitation.

[3]  Gen Endo,et al.  Muscle textile to implement soft suit to shift balancing posture of the body , 2018, 2018 IEEE International Conference on Soft Robotics (RoboSoft).

[4]  Kyu-Jin Cho,et al.  Development and evaluation of a soft wearable weight support device for reducing muscle fatigue on shoulder , 2017, PloS one.

[5]  D. Rus,et al.  Design, fabrication and control of soft robots , 2015, Nature.

[6]  Antonio Frisoli,et al.  Design and embedded control of a soft elbow exosuit , 2018, 2018 IEEE International Conference on Soft Robotics (RoboSoft).

[7]  V. Dietz,et al.  Contribution of feedback and feedforward strategies to locomotor adaptations. , 2006, Journal of neurophysiology.

[8]  C. Walsh,et al.  A soft robotic exosuit improves walking in patients after stroke , 2017, Science Translational Medicine.

[9]  Conor J. Walsh,et al.  Soft exosuit for hip assistance , 2015, Robotics Auton. Syst..

[10]  Conor J. Walsh,et al.  IMU-based iterative control for hip extension assistance with a soft exosuit , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

[11]  Scott Kuindersma,et al.  Human-in-the-loop optimization of hip assistance with a soft exosuit during walking , 2018, Science Robotics.

[12]  G R Johnson,et al.  Dynamics of the Upper Limb during Performance of the Tasks of Everyday Living—A Review of the Current Knowledge Base , 1996, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

[13]  Eduardo Rocon,et al.  Exoskeletons in Rehabilitation Robotics , 2011 .

[14]  Domenico Formica,et al.  A New Calibration Methodology for Thorax and Upper Limbs Motion Capture in Children Using Magneto and Inertial Sensors , 2014, Sensors.

[15]  Homayoon Kazerooni,et al.  Exoskeletons for human power augmentation , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[16]  A. Kyrylova Development of a Wearable Mechatronic Elbow Brace for Postoperative Motion Rehabilitation , 2015 .

[17]  B. Freriks,et al.  Development of recommendations for SEMG sensors and sensor placement procedures. , 2000, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[18]  R DRILLIS,et al.  BODY SEGMENT PARAMETERS; A SURVEY OF MEASUREMENT TECHNIQUES. , 1964, Artificial limbs.

[19]  Sheng Quan Xie,et al.  Exoskeleton robots for upper-limb rehabilitation: state of the art and future prospects. , 2012, Medical engineering & physics.

[20]  Etienne Burdet,et al.  On the analysis of movement smoothness , 2015, Journal of NeuroEngineering and Rehabilitation.

[21]  Jaime E. Duarte,et al.  The Myosuit: Bi-articular Anti-gravity Exosuit That Reduces Hip Extensor Activity in Sitting Transfers , 2017, Front. Neurorobot..

[22]  Gregory S. Sawicki,et al.  Reducing the energy cost of human walking using an unpowered exoskeleton , 2015, Nature.

[23]  Arno H. A. Stienen,et al.  Adaptive gravity and joint stiffness compensation methods for force-controlled arm supports , 2015, 2015 IEEE International Conference on Rehabilitation Robotics (ICORR).

[24]  MajidiCarmel,et al.  Soft Robotics: A Perspective—Current Trends and Prospects for the Future , 2014 .