Skip to main content

Proposal of a Novel Neuromorphic Optical Tactile Sensor for Applications in Prosthetic Hands

  • Conference paper
  • First Online:
XXVII Brazilian Congress on Biomedical Engineering (CBEB 2020)

Part of the book series: IFMBE Proceedings ((IFMBE,volume 83))

Included in the following conference series:

  • 93 Accesses

Abstract

The development of highly sophisticated prosthetic hands is a long-sought goal for biomedical engineers. Overall improvements in hand design and control via myoelectric signals (EMG) allowed the development of devices with more degrees of freedom and higher capabilities. While the motor aspects of prosthetic hands have greatly evolved, there is room for improvements in their sensory aspects. Incorporating tactile sensors into the robotic fingers should improve the overall control of the hand, providing more safety when manipulating objects. Despite the many tactile sensors presented in the literature, there is a need for more flexible and higher-density tactile sensors. In this paper, we present the design of a novel neuromorphic tactile sensor for prosthetic hands. The sensor is composed by a photodiode array and light-emitting diodes (LEDs) embedded into a soft elastomer material. Forces applied to this artificial skin causes deformation of the elastomer, changing the distribution of light over the photodiodes, generating the tactile signal. We also follow a neuromorphic approach by converting such signals into spikes that mimic the behavior of Merkel Cells present in the glabrous skin. These mechanoreceptors are slow-adapting and encode static forces applied over the skin. The proposed tactile sensor is promising and can be incorporated to prosthetic hands to improve their dexterity in a biomimetic manner.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 509.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Demet K, Martinet N, Guillemin F, Paysant J, Andre JM (2003) Health related quality of life and related factors in 539 persons with amputation of upper and lower limb. Disabil Rehab

    Google Scholar 

  2. Woodruff SI, Galarneau MR, Sack DI, McCabe CT, Dye JL (2017) Combat amputees’ health-related quality of life and psychological outcomes: a brief report from the wounded warrior recovery project. J Trauma Acute Care Surg

    Google Scholar 

  3. Jiang Ning, Englehart Kevin B., Parker Philip A.. Extracting simultaneous and proportional neural control information for multiple-dof prostheses from the surface electromyographic signal IEEE Transactions on Biomedical Engineering. 2009.

    Google Scholar 

  4. Roche AD, Rehbaum H, Farina D, Aszmann OC (2014) Prosthetic myoelectric control strategies: a clinical perspective. Curr Surg Rep

    Google Scholar 

  5. Gardner E, Johnson K. Touch in Principles of Neural Sciences, Kandel E, Schwartz J (ed), ch. 23, Mc Graw Hill

    Google Scholar 

  6. Prattichizzo D, Trinkle JC (2016) Grasping in Springer Handbook of Robotics

    Google Scholar 

  7. Osborn L, Kaliki RR, Soares AB, Thakor NV (2016) Neuromimetic event-based detection for closed-loop tactile feedback control of upper limb prostheses. IEEE Trans Haptics

    Google Scholar 

  8. Yi Z, Zhang Y, Peters J (2018) Biomimetic tactile sensors and signal processing with spike trains: a review

    Google Scholar 

  9. Zou L, Ge C, Wang ZJ, Cretu E, L i Xiaoou (2017) Novel tactile sensor technology and smart tactile sensing systems: a review

    Google Scholar 

  10. Tiwana Mohsin I, Redmond Stephen J, Lovell Nigel H (2012) A review of tactile sensing technologies with applications in biomedical engineering. Sens Actuators A: Phys 179:17–31

    Article  Google Scholar 

  11. Wan Y, Wang Y, Guo CF (2017) Recent progresses on flexible tactile sensors. Mater Today Phys 1:61–73

    Article  Google Scholar 

  12. Park Sungjun, Fukuda Kenjiro, Wang Ming, et al. Ultraflexible nearinfrared organic photodetectors for conformal photoplethysmogram sensors Advanced Materials. 2018.

    Google Scholar 

  13. Izhikevich Eugene M.. Simple model of spiking neurons 2003.

    Google Scholar 

  14. Johansson Roland S, Flanagan J (2009) Randall coding and use of tactile signals from the fingertips in object manipulation tasks. Nat Rev Neurosci 10:345–359

    Article  Google Scholar 

  15. Rongala UB, Mazzoni A, Oddo CM (2017) Neuromorphic artificial touch for categorization of naturalistic textures. IEEE Trans Neural Netw Learn Syst

    Google Scholar 

  16. Rasouli M, Chen Y, Basu A, Kukreja SL, Thakor NV (2018) An extreme learning machine-based neuromorphic tactile sensing system for texture recognition. IEEE Trans Biomed Circ Syst

    Google Scholar 

  17. Kumar D, Ghosh R, Nakagawa-Silva A, Soares AB, Thakor NV (2020) Neuromorphic approach to tactile edge orientation estimation using spatiotemporal similarity. Neurocomputing

    Google Scholar 

  18. Nakagawa-Silva A, Thakor NV, Cabibihan JJ, Soares AB (2019) A bio-inspired slip detection and reflex-like suppression method for robotic manipulators. IEEE Sens J

    Google Scholar 

Download references

Acknowledgment

The authors would like to thank FAPEMIG, CAPES and CNPq for the financial support.

Conflict of Interest

The authors declare that they have no conflict of interest.

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Pereira, M.G., Nakagawa-Silva, A., Soares, A.B. (2022). Proposal of a Novel Neuromorphic Optical Tactile Sensor for Applications in Prosthetic Hands. In: Bastos-Filho, T.F., de Oliveira Caldeira, E.M., Frizera-Neto, A. (eds) XXVII Brazilian Congress on Biomedical Engineering. CBEB 2020. IFMBE Proceedings, vol 83. Springer, Cham. https://doi.org/10.1007/978-3-030-70601-2_332

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-70601-2_332

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-70600-5

  • Online ISBN: 978-3-030-70601-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics