Electrical Engineering and Computer Science

Assistive Technology

Artificial Intelligence techniques can significantly enhance technology that enables people with cognitive and/or physical impairments to live more autonomously. At Michigan, we employ automated planning, temporal reasoning, machine learning, and probabilistic inference techniques to design and evaluate assistive technology. Examples of target systems include ones that provide flexibly timed reminders of daily activities to people with memory impairment; that automatically adapt a computer interface to meet the needs of a person with visual or fine-motor impairment; or that monitor the behavior of a person at home, to identify emerging functional problems.
Baveja, Satinder Singh
Durfee, Edmund H
Pollack, Martha