Skip to main content
SpringerLink
Log in

Adaptive Network Based Fuzzy Inference System (ANFIS) for an Active Transfemoral Prosthetic Leg by Using In-Socket Sensory System

  • Conference paper
  • First Online:
2nd International Conference for Innovation in Biomedical Engineering and Life Sciences (ICIBEL 2017)

Part of the book series: IFMBE Proceedings ((IFMBE,volume 67))

  • 956 Accesses

Abstract

Prosthetic leg is known as one of the solutions to help the amputee to regain back their ambulation ability. However, most of the current existing knee components still lacks in the ability to provide active body propulsion, which in turn. Thus, higher metabolic energy consumption is required by the amputee in doing locomotion movement. Hence, this study proposed the idea of developing both the mechanical structure as well as an ANFIS knowledge-based control system of the active actuated knee joint for transfemoral (TF) prosthetic leg. ANFIS was adopted using Matlab software to analyze human gait phase recognition necessary for cadence and torque control required by the knee joint mechanism while the actuated knee joint was developed using Inventor CAD software. Physical simulation of the controller presented a realistic simulation of the actuated of the knee joint in terms of knee mechanism. The fuzzy system could replicate human gait cycle by categorizing the cycle into seven gait phases.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Zlatnik, D.: Intelligently Controlled Above Knee (A/K) Prosthesis. Institute of Robotics, ETH-Zurich, Switzerland (1998)

    Google Scholar 

  2. Aeyels, B., Van Petegem, W., Sloten, J.V., Van Der Perre, G., Peeraer, L.: An EMG-based finite state approach for a microcomputer-controlled above-knee prosthesis. In: Proceedings of 17th International Conference on Engineering in Medicine and Biology Society, vol. 2, pp. 1315–1316 (1995)

    Google Scholar 

  3. Zhong, J., et al.: Design and simulation of PD, PID and fuzzy logic controller for industrial application. IEEE Trans. Syst. Man. Cybern. 3(8), 1–5 (2014)

    Google Scholar 

  4. Zahedi, S., Sykes, A., Lang, S., Cullington, I., Zahedi, S.: Adaptive prosthesis—a new concept in prosthetic knee control. Robotica 23(23), 337–344 (2005)

    Google Scholar 

  5. Arieta, A.H., Katoh, R., Yokoi, H., Wenwei, Y.: Development of a multi-DOF electromyography prosthetic system using the adaptive joint mechanism. Appl. Bionics Biomech. 3(2), 101–112 (2006)

    Google Scholar 

  6. Segal, A.D., et al.: Kinematic and kinetic comparisons of transfemoral amputee gait using C-Leg and Mauch SNS prosthetic knees. J. Rehabil. Res. Dev. 43(7), 857–870 (2006)

    Article  Google Scholar 

  7. Huang, C.T., et al.: Amputation: energy cost of ambulation. Arch. Phys. Med. Rehabil. 60(1), 18–24 (1979)

    Google Scholar 

  8. Inman, V.T.: Conservation of energy in ambulation. Arch. Phys. Med. Rehabil. 48(9), 484–488 (1967)

    Google Scholar 

  9. Fisher, S.V., Gullickson, G.: Energy cost of ambulation in health and disability: a literature review. Arch. Phys. Med. Rehabil. 59(3), 124–133 (1978)

    Google Scholar 

  10. Thiele, J., Westebbe, B., Bellmann, M., Kraft, M.: Designs and performance of microprocessorcontrolled knee joints. Biomed. Tech. 59(1), 65–77 (2014)

    Article  Google Scholar 

  11. Kusagur, A., Kodad, S.F., Ram, S.: Modelling & simulation of an ANFIS controller for an AC drive. World J. Model. Simul. 8(1), 36–49 (2012)

    Google Scholar 

  12. Herr, H., Wilkenfeld, A.: User-adaptive control of a magnetorheological prosthetic knee. Ind. Rob. 30(1), 42–55 (2003)

    Article  Google Scholar 

  13. Dyck, W.R., Onyshko, S., Hobson, D., Winter, D., Quanbury, O.: A voluntarily controlled electrohydraulic above-knee prosthesis. Bull. Prosthet. Res. 169–186 (1975)

    Google Scholar 

  14. Winter, D.A.: 12 Appendix A Kinematic, Kinetic, and Energy Data (2009)

    Google Scholar 

  15. Borjian, R., Khamesee, M.B., Melek, W.: Feasibility study on echo control of a prosthetic knee: sensors and wireless communication. Microsyst. Technol. 16(1–2), 257–265 (2010)

    Article  Google Scholar 

  16. Sugeno, M., Kang, G.T.: Structure identification of fuzzy model. Fuzzy Sets Syst. 28(1), 15–33 (1988)

    Article  MathSciNet  MATH  Google Scholar 

  17. Feng, G.: A survey on analysis and design of model-based fuzzy control systems. IEEE Trans. Fuzzy Syst. 14(5), 676–697 (2006)

    Article  Google Scholar 

  18. Winter, D.A.: The biomechanics and motor control of human gait: normal, elderly, and pathological (1991)

    Google Scholar 

  19. Hong, T.-P., Lee, C.-Y.: Induction of fuzzy rules and membership functions from training examples. Fuzzy Sets Syst. 84(1), 33–47 (1996)

    Article  MathSciNet  MATH  Google Scholar 

  20. Bai, Y., Wang, D.: Fundamentals of fuzzy logic control—fuzzy sets, fuzzy rules and defuzzifications. Adv. Fuzzy Log. Technol. Ind. Appl. 334–351 (2006)

    Google Scholar 

  21. Zadeh, L.: Fuzzy sets. Inf. Control 8(3), 338–353 (1965)

    Article  MATH  Google Scholar 

Download references

Acknowledgements

This work was supported in part by the Ministry of Higher Education, Fundamental Research Grant Scheme FRGS (FP047-2014B), and in part by the University Malaya Postgraduate Research Grant (PG125-2015B).

Author information

Authors and Affiliations

  1. Biomedical Engineering Department, Faculty of Engineering, University of Malaya, Malaya, Malaysia

    Nur Hidayah Mohd Yusof, Nur Azah Hamzaid & Khin Wee Lai

  2. Deparment of Mechatronics and Biomedical Engineering, Lee Kong Chian Faculty of Engineering and Science, Univerisiti Tunku Abdul Rahman, Sungai Long, Malaysia

    Yan Chai Hum

Authors
  1. Nur Hidayah Mohd Yusof
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yan Chai Hum
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Nur Azah Hamzaid
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Khin Wee Lai
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Khin Wee Lai .

Editor information

Editors and Affiliations

  1. Department of Biomedical Engineering, Faculty of Engineering, Centre for Innovation in Medical Engineering, University of Malaya, Kuala Lumpur, Malaysia

    Fatimah Ibrahim

  2. Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia

    Juliana Usman

  3. Department of Biomedical Engineering, Faculty of Engineering, Centre for Innovation in Medical Engineering, University of Malaya, Kuala Lumpur, Malaysia

    Mohd Yazed Ahmad

  4. Department of Rehabilitation Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia

    Norhamizan Hamzah

  5. Department of Biomedical Engineering, Faculty of Engineering, Centre for Innovation in Medical Engineering, University of Malaya, Kuala Lumpur, Malaysia

    Swe Jyan Teh

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Science+Business Media Singapore

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Mohd Yusof, N.H., Hum, Y.C., Hamzaid, N.A., Lai, K.W. (2018). Adaptive Network Based Fuzzy Inference System (ANFIS) for an Active Transfemoral Prosthetic Leg by Using In-Socket Sensory System. In: Ibrahim, F., Usman, J., Ahmad, M., Hamzah, N., Teh, S. (eds) 2nd International Conference for Innovation in Biomedical Engineering and Life Sciences. ICIBEL 2017. IFMBE Proceedings, vol 67. Springer, Singapore. https://doi.org/10.1007/978-981-10-7554-4_49

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-7554-4_49

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7553-7

  • Online ISBN: 978-981-10-7554-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation