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Principles of human movement augmentation and the challenges in making it a reality

Author

Listed:
  • Jonathan Eden

    (Imperial College of Science, Technology and Medicine)

  • Mario Bräcklein

    (Imperial College of Science, Technology and Medicine)

  • Jaime Ibáñez

    (Imperial College of Science, Technology and Medicine
    Universidad de Zaragoza
    University College London)

  • Deren Yusuf Barsakcioglu

    (Imperial College of Science, Technology and Medicine)

  • Giovanni Di Pino

    (Università Campus Bio-Medico di Roma)

  • Dario Farina

    (Imperial College of Science, Technology and Medicine)

  • Etienne Burdet

    (Imperial College of Science, Technology and Medicine)

  • Carsten Mehring

    (University of Freiburg
    University of Freiburg)

Abstract

Augmenting the body with artificial limbs controlled concurrently to one’s natural limbs has long appeared in science fiction, but recent technological and neuroscientific advances have begun to make this possible. By allowing individuals to achieve otherwise impossible actions, movement augmentation could revolutionize medical and industrial applications and profoundly change the way humans interact with the environment. Here, we construct a movement augmentation taxonomy through what is augmented and how it is achieved. With this framework, we analyze augmentation that extends the number of degrees-of-freedom, discuss critical features of effective augmentation such as physiological control signals, sensory feedback and learning as well as application scenarios, and propose a vision for the field.

Suggested Citation

  • Jonathan Eden & Mario Bräcklein & Jaime Ibáñez & Deren Yusuf Barsakcioglu & Giovanni Di Pino & Dario Farina & Etienne Burdet & Carsten Mehring, 2022. "Principles of human movement augmentation and the challenges in making it a reality," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-28725-7
    DOI: 10.1038/s41467-022-28725-7
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    References listed on IDEAS

    as
    1. Luke E. Miller & Luca Montroni & Eric Koun & Romeo Salemme & Vincent Hayward & Alessandro Farnè, 2018. "Sensing with tools extends somatosensory processing beyond the body," Nature, Nature, vol. 561(7722), pages 239-242, September.
    2. Patrick T. Sadtler & Kristin M. Quick & Matthew D. Golub & Steven M. Chase & Stephen I. Ryu & Elizabeth C. Tyler-Kabara & Byron M. Yu & Aaron P. Batista, 2014. "Neural constraints on learning," Nature, Nature, vol. 512(7515), pages 423-426, August.
    3. C. Mehring & M. Akselrod & L. Bashford & M. Mace & H. Choi & M. Blüher & A.-S. Buschhoff & T. Pistohl & R. Salomon & A. Cheah & O. Blanke & A. Serino & E. Burdet, 2019. "Augmented manipulation ability in humans with six-fingered hands," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
    4. Atsushi Takagi & Gowrishankar Ganesh & Toshinori Yoshioka & Mitsuo Kawato & Etienne Burdet, 2017. "Physically interacting individuals estimate the partner’s goal to enhance their movements," Nature Human Behaviour, Nature, vol. 1(3), pages 1-6, March.
    5. Nathanaël Jarrassé & Themistoklis Charalambous & Etienne Burdet, 2012. "A Framework to Describe, Analyze and Generate Interactive Motor Behaviors," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-13, November.
    6. Olaf Blanke & Jane E. Aspell, 2009. "Brain technologies raise unprecedented ethical challenges," Nature, Nature, vol. 458(7239), pages 703-703, April.
    7. Chet T. Moritz & Steve I. Perlmutter & Eberhard E. Fetz, 2008. "Direct control of paralysed muscles by cortical neurons," Nature, Nature, vol. 456(7222), pages 639-642, December.
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