These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Search MEDLINE/PubMed

  • Title: Adapting human-machine interfaces to user performance.
    Author: Danziger Z, Fishbach A, Mussa-Ivaldi FA.
    Journal: Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():4486-90. PubMed ID: 19163712.
    Abstract:
    The goal of this study was to create and examine machine learning algorithms that adapt in a controlled and cadenced way to foster a harmonious learning environment between the user of a human-machine interface and the controlled device. In this experiment, subjects' high-dimensional finger motions remotely controlled the joint angles of a simulated planar 2-link arm, which was used to hit targets on a computer screen. Subjects were required to move the cursor at the endpoint of the simulated arm.
    [Abstract] [Full Text] [Related] [New Search]