The Robot Hand System that can Control Grasping Power by SEMG

Autor: Seto, Tsubasa, Nagata, Kentaro, Magatani, Kazushige
Jazyk: angličtina
Rok vydání: 2012
Předmět:
DOI: 10.5281/zenodo.1330079
Popis: SEMG (Surface Electromyogram) is one of the bio-signals and is generated from the muscle. And there are many research results that use forearm EMG to detect hand motions. In this paper, we will talk about our developed the robot hand system that can control grasping power by SEMG. In our system, we suppose that muscle power is proportional to the amplitude of SEMG. The power is estimated and the grip power of a robot hand is able to be controlled using estimated muscle power in our system. In addition, to perform a more precise control can be considered to build a closed loop feedback system as an object to a subject to pressure from the edge of hand. Our objectives of this study are the development of a method that makes perfect detection of the hand grip force possible using SEMG patterns, and applying this method to the man-machine interface.
{"references":["B. Hudgins, P. Parker, and R. N. Scott, \"A newstrategy for multifunction\nmyoelectric control,\" IEEE Trans. Biomed. Eng., vol. 40, pp.82.94, Jan.\n1993.","H.-P. Huang, and C.-Y. Chen \"Development of a Myoelectric\nDiscrimination System for a MultiDegree Prosthetic Hand,\" in Proc.\n1999, Int. Conf. IEEE on Robotics & Automation , Detroit, Michigan May\n1999","Y. Al-Assaf and H. Al-Nashash, \"Surface myoelectric signal\nclassification for prostheses control,\" J. Med. Eng. Technol., vol. 29, pp.\n203.207, Sep./Oct. 2005","Y. Huang, K. B. Englehart, B. Hudgins, and A. D. Chan, \"A Gaussian\nmixture model based classification scheme for myoelectric control of\npowered upper limb prostheses,\" IEEE Trans. Biomed. Eng., vol. 52, no.\n11, pp. 1801.1811, Nov. 2005.","F. H. Y. Chan, Y. S. Yang, F. K. Lam, Y. T. Zhang, and P. A. Parker,\n\"Fuzzy EMG classification for prosthesis control,\" IEEE Trans. Rehab.\nEng., vol. 8, pp. 305.311, Sep. 2000.","K. Ando, K. Magatani et al.:\"Development of the input equipment for a\ncomputer using surface EMG\" Proceedings of the 28th IEEE EMBS\nAnnual International Conference (2006)","K. Nagata, M. Yamada, and K. Magatani, \"Development of the assist\nsystem to operate a computer for the disabled using multichannel surface\nEMG,\" in Proc. 26th Ann. Int. IEEE Conf. Eng. Med. Biol., San\nFrancisco, 2004, pp.4952-4955"]}
Databáze: OpenAIRE