A Riemannian-geometry approach for modeling and control of dynamics of object manipulation under holonomic or non-holonomic constraints is presented.
Suguru Arimoto +3 more
doaj +1 more source
Recognition of motor intentions from EEGs of the same upper limb by signal traceability and Riemannian geometry features. [PDF]
Zhang M, Huang J, Ni S.
europepmc +1 more source
Corrigendum: Riemannian geometry-based metrics to measure and reinforce user performance changes during brain-computer interface user training. [PDF]
Ivanov N, Chau T.
europepmc +1 more source
Geometrical aspects of spinor and twistor analysis [PDF]
This work is concerned with two examples of the interactions between differential geometry and analysis, both related to spinors. The first example is the Dirac operator on conformal spin manifolds with boundary.
Calderbank, David M. J.
core
Integrating Hamiltonian systems defined on the Lie groups SO(4) and SO(1,3) [PDF]
This paper examines optimal solutions of control systems with drift defined on the orthonormal frame bundle of particular Riemannian manifolds of constant curvature. The manifolds considered here are the space forms Euclidean space E³, the spheres S³ and
Biggs, James +4 more
core
The Riemannian Geometry Theory of Visually-Guided Movement Accounts for Afterimage Illusions and Size Constancy. [PDF]
Neilson PD, Neilson MD, Bye RT.
europepmc +1 more source
Quantum particles under geometric constraints are sensitive to the geometry and topology of the underlying space. We analytically study the laser-driven nonlinear dynamics of a quantum particle whose motion is constrained to a two-dimensional Riemannian ...
Hannah Bendin +2 more
doaj +1 more source
With the development of green finance and the complexity of the social network ecosystem, ESG risk governance and social network risk prevention and control have become core issues in the intelligent management of complex networks. Both belong to typical
Jixian Zhang
doaj +1 more source
Riemannian geometry-based transfer learning for reducing training time in c-VEP BCIs. [PDF]
Ying J, Wei Q, Zhou X.
europepmc +1 more source
Riemannian geometry-based metrics to measure and reinforce user performance changes during brain-computer interface user training. [PDF]
Ivanov N, Chau T.
europepmc +1 more source

