On the Shared Control of an EMG-Controlled Prosthetic Hand: Analysis of User–Prosthesis Interaction

An anthropomorphic underactuated prosthetic hand, endowed with position and force sensors and controlled by means of myoelectric commands, is used to perform experiments of hierarchical shared control. Three different hierarchical control strategies combined with a vibrotactile feedback system have been developed and tested by able-bodied subjects through grasping tasks used in activities of daily living (ADLs). The first goal is to find a good tradeoff between good grasping capabilities and low attention required by the user to complete grasping tasks, without addressing advanced algorithm for electromyographic processing. The second goal is to understand whether a vibrotactile feedback system is subjectively or objectively useful and how it changes users' performance. Experiments showed that users were able to successfully operate the device in the three control strategies, and that the grasp success increased with more interactive control. Practice has proven that when too much effort is required, subjects do not do their best, preferring, instead, a less-interactive control strategy. Moreover, the experiments showed that when grasping tasks are performed under visual control, the enhanced proprioception offered by a vibrotactile system is practically not exploited. Nevertheless, in subjective opinion, feedback seems to be quite important.

[1]  G. Lundborg,et al.  Sensory substitution in prosthetics. , 2001, Hand clinics.

[2]  W.J. Tompkins,et al.  Electrotactile and vibrotactile displays for sensory substitution systems , 1991, IEEE Transactions on Biomedical Engineering.

[3]  A. Kargov,et al.  Progress in the development of a multifunctional hand prosthesis , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[4]  R S Johansson,et al.  Sensory input and control of grip. , 1998, Novartis Foundation symposium.

[5]  J. Napier The prehensile movements of the human hand. , 1956, The Journal of bone and joint surgery. British volume.

[6]  Kevin B. Englehart,et al.  A robust, real-time control scheme for multifunction myoelectric control , 2003, IEEE Transactions on Biomedical Engineering.

[7]  G.S. Dhillon,et al.  Direct neural sensory feedback and control of a prosthetic arm , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[8]  Z. Pylyshyn,et al.  Vision and Action: The Control of Grasping , 1990 .

[9]  D. Atkins,et al.  Epidemiologic Overview of Individuals with Upper-Limb Loss and Their Reported Research Priorities , 1996 .

[10]  S. SCHULZ,et al.  A new ultralight anthropomorphic hand , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[11]  R. N. Scott,et al.  Myoelectric signal characteristics from muscles in residual upper limbs , 1994 .

[12]  Paolo Dario,et al.  Closed-loop controller for a bio-inspired multi-fingered underactuated prosthesis , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[13]  C. Light,et al.  Establishing a standardized clinical assessment tool of pathologic and prosthetic hand function: normative data, reliability, and validity. , 2002, Archives of physical medicine and rehabilitation.

[14]  Markus Reischl,et al.  A hydraulically driven multifunctional prosthetic hand , 2005, Robotica.

[15]  Alicia Casals,et al.  Towards the definition of a functionality index for the quantitative evaluation of hand-prosthesis , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[16]  D. Silcox,et al.  Myoelectric prostheses. A long-term follow-up and a study of the use of alternate prostheses. , 1993, The Journal of bone and joint surgery. American volume.

[17]  Paolo Dario,et al.  The Cyberhand: on the design of a cybernetic prosthetic hand intended to be interfaced to the peripheral nervous system , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

[18]  Silvestro Micera,et al.  Design of a cybernetic hand for perception and action , 2006, Biological Cybernetics.

[19]  Silvestro Micera,et al.  A critical review of interfaces with the peripheral nervous system for the control of neuroprostheses and hybrid bionic systems , 2005, Journal of the peripheral nervous system : JPNS.

[20]  Bernard Roth,et al.  Analysis of Multifingered Hands , 1986 .

[21]  P. Dario,et al.  Control of multifunctional prosthetic hands by processing the electromyographic signal. , 2002, Critical reviews in biomedical engineering.

[22]  R.R. Riso,et al.  Cognitive feedback for use with FES upper extremity neuroprostheses , 1991, IEEE Transactions on Biomedical Engineering.

[23]  C M Light,et al.  Development of a lightweight and adaptable multiple-axis hand prosthesis. , 2000, Medical engineering & physics.

[24]  Fuqin Q. Xiong,et al.  Some Aspects of Nonstationary Myoelectric Signal Processing , 1987, IEEE Transactions on Biomedical Engineering.

[25]  Adrian D. C. Chan,et al.  A Gaussian mixture model based classification scheme for myoelectric control of powered upper limb prostheses , 2005, IEEE Transactions on Biomedical Engineering.

[26]  F. G. Pérez Orthopedic physical assessment , 2003 .

[27]  Roland S. Johansson,et al.  Sensory and Memory Information in the Control of Dexterous Manipulation , 1996 .

[28]  Michael A. Arbib,et al.  Schema design and implementation of the grasp-related mirror neuron system , 2002, Biological Cybernetics.

[29]  Silvestro Micera,et al.  The development of a novel prosthetic hand-ongoing research and preliminary results , 2002 .

[30]  Y. Sasaki,et al.  Sensory feedback system using interferential current for EMG prosthetic hand , 2002, Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology.

[31]  Peter J. Kyberd,et al.  MARCUS: a two degree of freedom hand prosthesis with hierarchical grip control , 1995 .

[32]  Kazuo Tanie,et al.  A new consideration on tendon-tension control system of robot hands , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.

[33]  R. Likert “Technique for the Measurement of Attitudes, A” , 2022, The SAGE Encyclopedia of Research Design.

[34]  Silvestro Micera,et al.  Hybrid Bionic Systems for the Replacement of Hand Function , 2006, Proceedings of the IEEE.

[35]  S. Gruber,et al.  Robot hands and the mechanics of manipulation , 1987, Proceedings of the IEEE.

[36]  S. Micera,et al.  Characterization of tfLIFE Neural Response for the Control of a Cybernetic Hand , 2006, The First IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006. BioRob 2006..

[37]  Silvestro Micera,et al.  A microfabricated interface for neural recording and stimulation , 1997 .

[38]  Peter J. Kyberd,et al.  A Comparison Of Upper Limb Prostheses Users In Europe , 1999 .

[39]  Mark R. Cutkosky,et al.  On grasp choice, grasp models, and the design of hands for manufacturing tasks , 1989, IEEE Trans. Robotics Autom..

[40]  R. Roeschlein,et al.  Factors related to successful upper extremity prosthetic use , 1989, Prosthetics and orthotics international.