Tracing curves in the plane: geometric-invariant learning from human demonstrations

Tracing curves in the plane: geometric-invariant learning from human demonstrations

The empirical laws governing human-curvilinear movements have been studied using various relationships, including minimum jerk, the 2/3 power law, and the piecewise power law. These laws quantify the speed-curvature relationships of human movements during curve tracing using critical speed and curva...

Full description

Saved in:
Bibliographic Details
Main Authors: Turlapati, Sri Harsha, Grigoryeva, Lyudmila, Ortega, Juan-Pablo, Campolo, Domenico
Other Authors: School of Physical and Mathematical Sciences
Format: Article
Language:English
Published: 2024
Subjects:
Engineering
Convolutional neural network
Biomechanics
Online Access:https://hdl.handle.net/10356/174866
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/174866

Similar Items