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Design and Development of sEMG-Controlled Prosthetic Hand with Temperature and Pressure Sensory Feedback

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Intelligent Robotics and Applications (ICIRA 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12595))

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Abstract

In this paper we deal with the design and development of a prosthetic hand using sEMG control, temperature and pressure sensors. Through the acquisition of the sEMG produced by the movement of the flexor digitorum superficialis, the prosthetic hand controlled the contraction and relaxation of the prosthetic hand. At the same time, the prosthetic hand can automatically detect the pressure and temperature of objects being held. It can pass the real-time pressure and temperature of the object held by the prosthetic hand to users, who can independently control the force, perceive the temperature of the object, and heat the surface of the prosthetic hand to the same temperature as the body by using the heating films. The prosthetic hand can provide better satisfaction to users and promote the humanistic care of disabled people. At present, the prosthetic hand has achieved the functions below: the acquisition of the sEMG; movement control of finger opening and closing; the acquisition of pressure and temperature of the object being held; pressure and temperature perception in prosthetic hand users; thermostatic control of prosthetic hand surface.

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References

  1. Dalley, S.A., Wiste, T.E., Withrow, T.J., Goldfarb, M.: Design of a multifunctional anthropomorphic prosthetic hand with extrinsic actuation. IEEE-ASME Trans. Mechatron. 14(6), 699–706 (2009)

    Article  Google Scholar 

  2. Connolly, C.: Prosthetic hands from touch bionics. Ind. Robot Int. J. Robot. Res. Appl. 35(4), 290–293 (2008)

    Article  Google Scholar 

  3. Cipriani, C., Controzzi, M., Carrozza, M.C.: The smarthand transradial prosthesis. J. Neuroeng. Rehabil. 8(1), 1–4 (2011)

    Article  Google Scholar 

  4. Wang, N., Lao, K., Zhang, X.: Design and myoelectric control of an anthropomorphic prosthetic hand. J. Bionic Eng. 14(1), 47–59 (2017)

    Article  Google Scholar 

  5. Yang, B., Jiang, L., Hu, J., Li, C., Liu, H.: A compact control system and a myoelectric control method for multi-dofs prosthetic hand. In: IEEE International Conference on Real-time Computing and Robotics (RCAR), pp. 592–597 (2019)

    Google Scholar 

  6. Xu, K., Liu, Z., Zhao, B., Liu, H., Zhu, X.: Composed continuum mechanism for compliant mechanical postural synergy: an anthropomorphic hand design example. Mech. Mach. Theory 132, 108–122 (2019)

    Article  Google Scholar 

  7. Oskoei, M.A., Hu, H.: Myoelectric control systems-a survey. Biomed. Signal Process. Control 2(4), 275–294 (2007)

    Article  Google Scholar 

  8. Ding, Q., Xiong, A., Zhao, X., Han, J.: A review on researches and applications of semg-based motion intent recognition methods (in chinese). Acta Automatica Sinica 42(01), 13–25 (2016)

    Google Scholar 

  9. Man, Z., Qiao, Y., Li, l., Rong, H.: Classification of surface emg signals based on lda (in chinese). Comput. Eng. Sci. 38(11), 2321–2327 (2016)

    Google Scholar 

  10. Zhang, F., Yang, D., Liu, T.: Gesture recognition based on emg signal and attitude signal (in chinese). Transducer Microsyst. Technol. 38(07), 46–49+52 (2019)

    Google Scholar 

  11. Wang, N., Chen, Y., Zhang, X.: The recognition of multi-finger prehensile postures using lda. Biomed. Signal Process. Control 8(6), 706–712 (2013)

    Article  Google Scholar 

  12. Wang, N., Lao, K., Zhang, X., Lin, J., Zhang, X.: The recognition of grasping force using lda. Biomed. Signal Process. Control 47, 393–400 (2019)

    Article  Google Scholar 

  13. Wang, N., Chen, Y., Zhang, X.: Realtime recognition of multi-finger prehensile gestures. Biomed. Signal Process. Control 13, 262–269 (2014)

    Article  Google Scholar 

  14. Bottomley, A.H.: Myo-electric control of powered prostheses. J. Bone Joint Surg. Br. 47, 411–415 (1965)

    Article  Google Scholar 

  15. Gu, Y., Yang, D., Huang, Q., Yang, W., Liu, H.: Robust emg pattern recognition in the presence of confounding factors: features, classifiers and adaptive learning (in chinese). Expert Syst. Appl. 96, 208–217 (2018)

    Article  Google Scholar 

  16. Yang, J.: Research on the multi-sensor fusion sensing system for the lower exoskeleton robot (in chinese). Master (2017)

    Google Scholar 

  17. Xiao, S.: Control system design and research of an intelligent rehabilitation robot (in chinese). Master (2015)

    Google Scholar 

  18. Wu, C.: Research on emg based control and force tactile perception feedback of the prosthetic hand (in chinese). Doctor (2016)

    Google Scholar 

  19. Guo, X., Huang, Y., Teng, K., Liu, P., Liu, C., Tian, H.: Modular design and implementation of flexible artificial skin with temperature and pressure sensors (in chinese). Robot 37(04), 493–498 (2015)

    Google Scholar 

  20. Tian, Y., Zhang, X., Zhang, l.: Research on temperature sensing technology for bionic prosthetic hand (in chinese). Mach. Electron. (10), 12–16 (2015)

    Google Scholar 

  21. Luo, Z., Yang, G.: Prosthetic hand fuzzy control based on touch and myoelectric signal (in chinese). Robot 02, 224–228 (2006)

    Google Scholar 

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Acknowledgements

The authors gratefully acknowledge the reviewers’ comments.

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Correspondence to Nianfeng Wang .

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Li, C., Wang, N. (2020). Design and Development of sEMG-Controlled Prosthetic Hand with Temperature and Pressure Sensory Feedback. In: Chan, C.S., et al. Intelligent Robotics and Applications. ICIRA 2020. Lecture Notes in Computer Science(), vol 12595. Springer, Cham. https://doi.org/10.1007/978-3-030-66645-3_27

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  • DOI: https://doi.org/10.1007/978-3-030-66645-3_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-66644-6

  • Online ISBN: 978-3-030-66645-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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