publication . Article . 2020

Guiding functional reorganization of motor redundancy using a body-machine interface

Dalia De Santis; Ferdinando A. Mussa-Ivaldi;
Open Access
  • Published: 01 May 2020 Journal: Journal of NeuroEngineering and Rehabilitation, volume 17 (eissn: 1743-0003, Copyright policy)
  • Publisher: Springer Science and Business Media LLC
Abstract Background Body-machine interfaces map movements onto commands to external devices. Redundant motion signals derived from inertial sensors are mapped onto lower-dimensional device commands. Then, the device users face two problems, a) the structural problem of understanding the operation of the interface and b) the performance problem of controlling the external device with high efficiency. We hypothesize that these problems, while being distinct are connected in that aligning the space of body movements with the space encoded by the interface, i.e. solving the structural problem, facilitates redundancy resolution towards increasing efficiency, i.e. sol...
Persistent Identifiers
free text keywords: Health Informatics, Rehabilitation, Body-machine interface, Motor redundancy, Forward model, Sensorimotor learning, body-machine interface, motor redundancy, motor control, rehabilitation, human-machine interface, coordination, internal model, co-adaptation, iterative principal component analysis, Research, Computer vision, Inertial measurement unit, Matrix (mathematics), Redundancy (engineering), Principal component analysis, Linear subspace, Kernel (linear algebra), Machine interface, Computer science, Subspace topology, Artificial intelligence, business.industry, business, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, lcsh:RC321-571
Funded by
Re-Empower the BOdy after Tetraplegia.
  • Funder: European Commission (EC)
  • Project Code: 750464
  • Funding stream: H2020 | MSCA-IF-GF
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