Cargando…
A Framework for Optimizing Co-adaptation in Body-Machine Interfaces
The operation of a human-machine interface is increasingly often referred to as a two-learners problem, where both the human and the interface independently adapt their behavior based on shared information to improve joint performance over a specific task. Drawing inspiration from the field of body-...
Autor principal: | De Santis, Dalia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8097093/ https://www.ncbi.nlm.nih.gov/pubmed/33967733 http://dx.doi.org/10.3389/fnbot.2021.662181 |
Ejemplares similares
-
Guiding functional reorganization of motor redundancy using a body-machine interface
por: De Santis, Dalia, et al.
Publicado: (2020) -
Unsupervised Adaptation of Brain-Machine Interface Decoders
por: Gürel, Tayfun, et al.
Publicado: (2012) -
Editorial: Embodiment and Co-adaptation Through Human-Machine Interfaces: At the Border of Robotics, Neuroscience and Psychology
por: Beckerle, Philipp, et al.
Publicado: (2022) -
Brain-machine interfacing control of whole-body humanoid motion
por: Bouyarmane, Karim, et al.
Publicado: (2014) -
Optimal Multichannel Artifact Prediction and Removal for Neural Stimulation and Brain Machine Interfaces
por: Sadeghi Najafabadi, Mina, et al.
Publicado: (2020)