Embedded human control of robots using myoelectric interfaces

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volumn 22, Issue 4, 2014, Pages 820-827

  Antuvan, Chris Wilson ^a   Ison, Mark ^a   Artemiadis, Panagiotis ^a  

^a Arizona State University   (United States)

Author keywords

Electromyography; human robot interaction; motor learning; myoelectric control; real time systems

Indexed keywords

ELECTROMYOGRAPHY; HUMAN ROBOT INTERACTION; MAPPING; MUSCLE; REAL TIME SYSTEMS;

ARTIFICIAL SYSTEMS; MAPPING FUNCTIONS; MOTOR LEARNING; MUSCLE ACTIVITIES; MYOELECTRIC CONTROL; RESEARCH INTERESTS; ROBOT TELEOPERATION; SUBJECT-SPECIFIC;

MYOELECTRICALLY CONTROLLED PROSTHETICS;

ACTION POTENTIAL; ARM; COMPUTER INTERFACE; ELECTROMYOGRAPHY; FEEDBACK SYSTEM; HUMAN; MAN MACHINE INTERACTION; MOVEMENT (PHYSIOLOGY); MUSCLE CONTRACTION; PHYSIOLOGY; PROCEDURES; ROBOTICS; SKELETAL MUSCLE;

ACTION POTENTIALS; ARM; ELECTROMYOGRAPHY; FEEDBACK, PHYSIOLOGICAL; HUMANS; MAN-MACHINE SYSTEMS; MOVEMENT; MUSCLE CONTRACTION; MUSCLE, SKELETAL; ROBOTICS; USER-COMPUTER INTERFACE;

EID: 84904330475     PISSN: 15344320     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNSRE.2014.2302212     Document Type: Article

References (38)

1. J. R. Wolpaw, N. Birbaumer, D. J. McFarland, G. Pfurtscheller, and T. M. Vaughan, "Brain-computer interfaces for communication and control," Clin. Neurophysiol., vol. 113, no. 6, pp. 767-791, Jun. 2002. (Pubitemid 34621187)
2. O. Fukuda, T. Tsuji, M. Kaneko, and A. Otsuka, "A human-assisting manipulator teleoperated by EMG signals and arm motions," IEEE Trans. Robot. Automat., vol. 19, no. 2, pp. 210-222, Apr. 2003.
3. S. Bitzer and P. van der Smagt, "Learning EMG control of a robotic hand: Towards active prostheses," in Proc. IEEE Int. Conf. Robot. and Automat. ICRA, May 2006, pp. 2819-2823. (Pubitemid 44940491)
4. C. Castellini, A. E. Fiorilla, and G. Sandini, "Multi-subject/daily- life activity EMG-based control of mechanical hands," J. Neuroeng. Rehab., vol. 6, no. 41, 2009.
5. L. Lucas, M. DiCicco, and Y. Matsuoka, "An EMG-controlled hand exoskeleton for natural pinching," J. Robot. Mechatron., vol. 16, no. 5, Oct. 2004.
6. P. Artemiadis and K. J. Kyriakopoulos, "EMG-based position and force estimates in coupled human-robot systems: Towards EMG controlled exoskeletons," in Experimental Robotics, O. Khatib, V. Kumar, and G. J. Pappas, Eds. Berlin, Germany: Springer, 2009, vol. 54, Springer Tracts in Advanced Robotics, pp. 241-250.
7. C. Zhu, S. Shimazu, M. Yoshioka, and T. Nishikawa, "Power assistance for human elbow motion support using minimal EMG signals with admittance control," in Proc. Int. Conf. Mechatron. Automat. (ICMA), Aug. 2011, pp. 276-281.
8. T. S. Saponas, D. S. Tan, D. Morris, and R. Balakrishnan, "Demonstrating the feasibility of using forearm electromyography for musclecomputer interfaces," in Proc. SIGCHI Conf. Human Factors in Comput. Syst., New York, NY, USA, 2008, CHI '08, pp. 515-524.
9. J. Vogel, C. Castellini, and P. van der Smagt, "EMG-based teleoperation and manipulation with the DLR LWR-III," in Proc. IEEE/RSJ Int. Conf. Intelligent Robots and Syst. (IROS), Sep. 2011, pp. 672-678.
10. P. K. Artemiadis and K. J. Kyriakopoulos, "A switching regime model for the EMG-based control of a robot arm," IEEE Trans. Syst. Man, Cybern., Part B: Cybern., vol. 41, no. 1, pp. 53-63, Feb. 2011.
11. P. K. Artemiadis and K. J. Kyriakopoulos, "EMG-based teleoperation of a robot armin planar catchingmovements using ARMAX model and trajectory monitoring techniques," in Proc. IEEE Int. Conf. Robotics Automat., 2006, pp. 3244-3249. (Pubitemid 44940559)
12. M. S. Erkilinc and F. Sahin, "Camera control with EMG signals using principal component analysis and support vector machines," in Proc. IEEE Int. Syst. Conf. (SysCon), Apr. 2011, pp. 417-421.
13. P. K. Artemiadis and K. J. Kyriakopoulos, "Teleoperation of a robot manipulator using EMG signals and a position tracker," in Proc. IEEE/RSJ Int. Conf. Intelligent Robots Syst., Aug. 2005, pp. 1003-1008.
14. U. Sahin and F. Sahin, "Pattern recognition with surface EMG signal based wavelet transformation," in Proc. IEEE Syst., Man, Cybern. Conf. (SMC), pp. 295-300.
15. G. Naik, D. Kumar, and Jayadeva, "Twin SVM for gesture classification using the surface electromyogram," IEEE Trans. Inform. Technol. Biomedicine, vol. 14, no. 2, pp. 301-308, Mar. 2010.
16. P. K. Artemiadis, P. T. Katsiaris, and K. J. Kyriakopoulos, "A biomimetic approach to inverse kinematics for a redundant robot arm," Autonomous Robots, vol. 29, no. 3-4, pp. 293-308, Nov. 2010.
17. F. Orabona, C. Castellini, B. Caputo, A. Fiorilla, and G. Sandini, "Model adaptation with least-squares SVM for adaptive hand prosthetics," in Proc. IEEE Int. Conf. Robot. Automat., May 2009, pp. 2897-2903.
18. C. Cipriani, F. Zaccone, S. Micera, and M. Carrozza, "On the shared control of an EMG-controlled prosthetic hand: Analysis of user-prosthesis interaction," IEEE Trans. Robot., vol. 24, no. 1, pp. 170-184, Feb. 2008. (Pubitemid 351411206)
19. P. Nilas, P. Rani, and N. Sarkar, "An innovative high-level humanrobot interaction for disabled persons," in Proc. IEEE Int. Conf. Robot. Automat. ICRA '04, Apr.-May 1, 2004, vol. 3, pp. 2309-2314.
20. F. A. Mussa-Ivaldi, M. Casadio, Z. C. Danziger, K. M. Mosier, and R. A. Scheidt, "Sensory motor remapping of space in human-machine interfaces," Progr. Brain Res., vol. 191, p. 45, 2011.
21. K. M. Mosier, R. A. Scheidt, S. Acosta, and F. A. Mussa-Ivaldi, "Remapping hand movements in a novel geometrical environment," J. Neurophysiol., vol. 94, no. 6, pp. 4362-4372, Dec. 2005. (Pubitemid 41691791)
22. J. P. Cunningham, P. Nuyujukian, V. Gilja, C. A. Chestek, S. I. Ryu, and K. V. Shenoy, "A closed-loop human simulator for investigating the role of feedback control in brain-machine interfaces," J. Neurophysiol., vol. 105, no. 4, pp. 1932-1949, Apr. 2011.
23. D. M. Taylor, S. I. H. Tillery, and A. B. Schwartz, "Direct cortical control of 3D neuroprosthetic devices," Science, vol. 296, pp. 1829-1832, 2002. (Pubitemid 34596262)
24. K. Nazarpour, A. Barnard, and A. Jackson, "Flexible cortical control of task-specific muscle synergies," J. Neurosci., vol. 32, no. 36, pp. 12 349-12 360, Sep. 2012.
25. S. P. Kim, J. D. Simeral, L. R. Hochberg, J. P. Donoghue, and M. J. Black, "Neural control of computer cursor velocity by decoding motor cortical spiking activity in humans with tetraplegia," J. Neural, vol. 5, p. 22, 2008.
26. S. M. Chase, A. B. Schwartz, and R. E. Kass, "Bias, optimal linear estimation, and the differences between open-loop simulation and closed-loop performance of spiking-based brain-computer interface algorithms," Neural Networks, vol. 22, no. 9, pp. 1203-1213, Nov. 2009.
27. S. M. Radhakrishnan, S. N. Baker, and A. Jackson, "Learning a novel myoelectric-controlled interface task," J. Neurophysiol., vol. 1, p. 47, 2008.
28. T. Pistohl, C. Cipriani, A. Jackson, and K. Nazarpour, "Abstract and proportional myoelectric control for multi-fingered hand prostheses," Anna. Biomed. Eng., vol. 41, no. 12, pp. 2687-2698, Dec. 2013.
29. A. de Rugy, G. E. Loeb, and T. J. Carroll, "Muscle coordination is habitual rather than optimal," J. Neurosci., vol. 32, no. 21, pp. 7384-7391, May 2012.
30. D. Graupe and K.W. Cline, "Functional separation of EMG signals via ARMA identification methods for prosthesis control purposes," IEEE Trans. Syst., Man Cybern., vol. SMC-5, no. 2, pp. 252-259, Mar. 1975.
31. D. Nishikawa, W. Yu, H. Yokoi, and Y. Kakazu, "EMG prosthetic hand controller using real-time learning method," in Proc. IEEE Int. Conf. Syst., Man, Cybern., 1999, vol. 1, pp. 153-158.
32. M. V. Liarokapis, P. K. Artemiadis, P. T. Katsiaris, K. J. Kyriakopoulos, and E. S. Manolakos, "Learning human reach-to-grasp strategies: Towards EMG-based control of robotic arm-hand systems," in Proc. IEEE Int. Conf. Robot. Automat. (ICRA), May 2012, pp. 2287-2292.
33. P. K. Artemiadis and K. J. Kyriakopoulos, "An EMG-based robot control scheme robust to time-varying EMG signal features," IEEE Trans. Inform. Technol. Biomedicine, vol. 14, no. 3, pp. 582-588, May 2010.
34. A. B. Ajiboye and R. F. Weir, "Muscle synergies as a predictive framework for the EMG patterns of new hand postures," J. Neural Eng., vol. 6, no. 3, p. 036004, Jun. 2009.
35. F. E. Zajac, "Muscle and tendon: Properties, models, scaling, and application to biomechanics and motor control," Stanford Univ., vol. 17, p. 52, 1989.
36. R. Héliot, K. Ganguly, J. Jimenez, and J. M. Carmena, "Learning in closed-loop brain-machine interfaces: Modeling and experimental validation," IEEE Trans. Syst., Man, Cybern., vol. 40, p. 11, 2010.
37. G. J. Gage, K. A. Ludwig, K. J. Otto, E. L. Ionides, and D. R. Kipke, "Naive coadaptive cortical control," J. Neural Eng., vol. 1, p. 13, 2005.
38. [Online]. Available: http://www.opengl.org