A new control method for power-assisted wheelchair based on the surface myoelectric signal

IEEE Transactions on Industrial Electronics

Volumn 57, Issue 9, 2010, Pages 3191-3196

  Oonishi, Yuusuke ^a   Oh, Sehoon ^b   Hori, Yoichi ^b  

^a SONY CORPORATION   (Japan)

^b UNIVERSITY OF TOKYO   (Japan)

Author keywords

Disturbance observer; electromyogram (EMG); power assisting control; wheelchair

Indexed keywords

CONTROL METHODS; CONVENTIONAL POWER; DISTURBANCE OBSERVER; ELECTROMYOGRAM; INPUT FORCES; MYOELECTRIC SIGNALS; POWER ASSIST; POWER-ASSISTED WHEELCHAIR; POWER-ASSISTING CONTROL; TORQUE SENSORS; TORQUE SIGNALS;

AMPLIFICATION; SENSORS; TORQUE; TORQUE METERS; WHEELCHAIRS;

CONTROLLERS;

EID: 77955599340     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIE.2010.2051931     Document Type: Article

References (20)

1. S. Katsura and K. Ohnishi, "Human cooperative wheelchair for haptic interaction based on dual compliance control," IEEE Trans. Ind. Electron., vol.51, no.1, pp. 221-228, Feb. 2004.
2. R. A. Cooper, "A system approach to the modeling of racing wheelchair propulsion," J. Res. Develop., vol.27, no.2, pp. 151-162, 1990.
3. R. Simpson, E. LoPresti, S. Hayashi, S. Guo, D. Ding, W. Ammer, V. Sharma, and R. Cooper, "A prototype power assist wheelchair that provides for obstacle detection and avoidance for those with visual impairments," J. NeuroEng. Rehabil., vol.2, p. 30, Oct. 2005.
4. S. Tashiro and T. Murakami, "Step passage control of a power-assisted wheelchair for a caregiver," IEEE Trans. Ind. Electron., vol.55, no.4, pp. 1715-1721, Apr. 2008.
5. S. Oh, N. Hata, and Y. Hori, "Integrated motion control of a wheelchair in the longitudinal, lateral and pitch directions," IEEE Trans. Ind. Electron., vol.55, no.4, pp. 1855-1862, Apr. 2008.
6. S. Oh and Y. Hori, "Generalized discussion on design of force-sensor-less Power Assist Control," in Proc. IEEE Int. Workshop Adv. Motion Control, 2008, pp. 492-497.
7. Q. Zeng, C. L. Teo, B. Rebsamen, and E. Burdet, "A collaborative wheelchair system," IEEE Trans. Neural Syst. Rehabil. Eng., vol.16, no.2, pp. 161-170, Apr. 2008.
8. K. Hakkinen and P. V. Komi, "Electromyographic changes during strength training and detraining," Med. Sci. Sports Exerc., vol.15, no.6, pp. 455-460, 1983.
9. Y. Kurita, M. Tada, Y. Matsumoto, and T. Ogasawara, "Simultaneous measurement of the grip/load force and the finger EMG: Effects of the object weight," in Proc. IEEE SMC, 2002, p. TP1B6.
10. A. Ferreira,W. C. Celeste, F. A. Cheein, T. F. Bastos-Filho, M. Sarcinelli-Filho, and R. Carelli, "Human-machine interfaces based on EMG and EEG applied to robotic systems," J. NeuroEng. Rehabil., vol.5, p. 10, Mar. 2008.
11. H. Huang, P. Zhou, G. Li, and T. A. Kuiken, "An analysis of EMG electrode configuration for targeted muscle reinnervation based neural machine interface," IEEE Trans. Rehabil. Eng., vol.16, no.1, pp. 37-45, Feb. 2008.
12. Y. Su, M. H. Fisher, A. Wolczowski, G. D. Bell, D. J. Burn, and R. X. Gao, "Towards an EMG-controlled prosthetic hand using a 3-D electromagnetic positioning system," IEEE Trans. Instrum. Meas., vol.56, no.1, pp. 178-186, Feb. 2007.
13. K. Nishihara, H. Kawai, T. Gomi, M. Terajima, and Y. Chiba, "Investigation of optimum electrode locations by using an automatized surface electromyography analysis technique," IEEE Trans. Biomed. Eng., vol.55, no.2, pp. 636-642, Feb. 2008.
14. W. Yu, H. Yamaguchi, M. Maruishi, H. Yokoi, Y. Mano, and Y. Kakazu, "EMG automatic switch for FES control for hemiplegics using artificial neural network," Robot. Auton. Syst., vol. 40, no. 2/3, pp. 213-224, Aug. 2002.
15. J. U. Chu, I. Moon, andM. S.Mun, "A real-time EMG pattern recognition system based on linear-nonlinear feature projection for a multifunction myoelectric hand," IEEE Trans. Biomed. Eng., vol.53, no.11, pp. 2232-2239, Nov. 2006.
16. H. Kawamoto, S. Lee, S. Kanbe, and Y. Sankai, "Power assist method for HAL-3 using EMG-based feedback controller," in Proc. SMC, 2003, pp. 1648-1653.
17. K. Choi, M. Sato, and Y. Koike, "A new, human-centered wheelchair system controlled by the EMG signal," in Proc. WCCI, 2006, pp. 4664-4671.
18. H. Seki, T. Takatsu, Y. Kamiya,M. Hikizu, and M. Maekawa, "A powered wheelchair controlled by EMG signals from neck muscles," in Human Friendly Mechatronics (Selected Papers of the International Conference on Machine Automation). New York: Elsevier, 2001, pp. 87-92.
19. Y. Matsumura, Y. Mitsukura, M. Fukumi, N. Akamatsu, Y. Yamamoto, and K. Nakaura, "Recognition of EMG signal patterns by neural networks," in Proc. 9th Int. Conf. Neural Inf. Process., 2002, vol.2, pp. 750-754.
20. J. Miyata, Y. Kaida, and T. Murakami, "v -coordinate-based powerassist control of electric wheelchair for a caregiver," IEEE Trans. Ind. Electron., vol.55, no.6, pp. 2517-2524, Jun. 2008.