Learning Algorithms for Human–Machine Interfaces

  title={Learning Algorithms for Human–Machine Interfaces},
  author={Zachary C Danziger and Alon Fishbach and Ferdinando A. Mussa-Ivaldi},
  journal={IEEE Transactions on Biomedical Engineering},
The goal of this study is to create and examine machine learning algorithms that adapt in a controlled and cadenced way to foster a harmonious learning environment between the user and the controlled device. To evaluate these algorithms, we have developed a simple experimental framework. Subjects wear an instrumented data glove that records finger motions. The high-dimensional glove signals remotely control the joint angles of a simulated planar two-link arm on a computer screen, which is used… CONTINUE READING
Recent Discussions
This paper has been referenced on Twitter 1 time over the past 90 days. VIEW TWEETS