IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v13y2022i1d10.1038_s41467-022-28725-7.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-022-28725-7
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-022-28725-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Olaf Blanke & Jane E. Aspell, 2009. "Brain technologies raise unprecedented ethical challenges," Nature, Nature, vol. 458(7239), pages 703-703, April.
    6. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vinil T Chackochan & Vittorio Sanguineti, 2019. "Incomplete information about the partner affects the development of collaborative strategies in joint action," PLOS Computational Biology, Public Library of Science, vol. 15(12), pages 1-23, December.
    2. Ashesh Vasalya & Gowrishankar Ganesh & Abderrahmane Kheddar, 2018. "More than just co-workers: Presence of humanoid robot co-worker influences human performance," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-19, November.
    3. Josh Merel & Donald M Pianto & John P Cunningham & Liam Paninski, 2015. "Encoder-Decoder Optimization for Brain-Computer Interfaces," PLOS Computational Biology, Public Library of Science, vol. 11(6), pages 1-25, June.
    4. Rocío Llamas-Ramos & Juan Luis Sánchez-González & Inés Llamas-Ramos, 2022. "Robotic Systems for the Physiotherapy Treatment of Children with Cerebral Palsy: A Systematic Review," IJERPH, MDPI, vol. 19(9), pages 1-12, April.
    5. Benjamin R Cowley & Matthew A Smith & Adam Kohn & Byron M Yu, 2016. "Stimulus-Driven Population Activity Patterns in Macaque Primary Visual Cortex," PLOS Computational Biology, Public Library of Science, vol. 12(12), pages 1-31, December.
    6. Yasuhiko Nakanishi & Takufumi Yanagisawa & Duk Shin & Ryohei Fukuma & Chao Chen & Hiroyuki Kambara & Natsue Yoshimura & Masayuki Hirata & Toshiki Yoshimine & Yasuharu Koike, 2013. "Prediction of Three-Dimensional Arm Trajectories Based on ECoG Signals Recorded from Human Sensorimotor Cortex," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-9, August.
    7. Sravani Kondapavulur & Stefan M. Lemke & David Darevsky & Ling Guo & Preeya Khanna & Karunesh Ganguly, 2022. "Transition from predictable to variable motor cortex and striatal ensemble patterning during behavioral exploration," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    8. Tanner C Dixon & Christina M Merrick & Joni D Wallis & Richard B Ivry & Jose M Carmena, 2021. "Hybrid dedicated and distributed coding in PMd/M1 provides separation and interaction of bilateral arm signals," PLOS Computational Biology, Public Library of Science, vol. 17(11), pages 1-35, November.
    9. Svenja Melbaum & Eleonora Russo & David Eriksson & Artur Schneider & Daniel Durstewitz & Thomas Brox & Ilka Diester, 2022. "Conserved structures of neural activity in sensorimotor cortex of freely moving rats allow cross-subject decoding," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    10. Rishabh Chandak & Baranidharan Raman, 2023. "Neural manifolds for odor-driven innate and acquired appetitive preferences," Nature Communications, Nature, vol. 14(1), pages 1-21, December.
    11. Han-Lin Hsieh & Maryam M Shanechi, 2018. "Optimizing the learning rate for adaptive estimation of neural encoding models," PLOS Computational Biology, Public Library of Science, vol. 14(5), pages 1-34, May.
    12. Atsushi Takagi & Niek Beckers & Etienne Burdet, 2016. "Motion Plan Changes Predictably in Dyadic Reaching," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-15, December.
    13. Saki Kato & Natsuki Yamanobe & Gentiane Venture & Eiichi Yoshida & Gowrishankar Ganesh, 2019. "The where of handovers by humans: Effect of partner characteristics, distance and visual feedback," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-14, June.
    14. Ryan C Williamson & Benjamin R Cowley & Ashok Litwin-Kumar & Brent Doiron & Adam Kohn & Matthew A Smith & Byron M Yu, 2016. "Scaling Properties of Dimensionality Reduction for Neural Populations and Network Models," PLOS Computational Biology, Public Library of Science, vol. 12(12), pages 1-27, December.
    15. Ege Altan & Sara A Solla & Lee E Miller & Eric J Perreault, 2021. "Estimating the dimensionality of the manifold underlying multi-electrode neural recordings," PLOS Computational Biology, Public Library of Science, vol. 17(11), pages 1-23, November.
    16. Basil Wahn & Artur Czeszumski & Peter König, 2018. "Performance similarities predict collective benefits in dyadic and triadic joint visual search," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-14, January.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-28725-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.