Learning Algorithms for Human–Machine Interfaces

@article{Danziger2009LearningAF,
  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},
  year={2009},
  volume={56},
  pages={1502-1511}
}
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
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