Data-driven Spoken Language Understanding (SLU) systems need semantically annotated data which are expensive, time consuming and prone to human errors. Active learning has been su...
We explore a dense sensing approach that uses RFID sensor network technology to recognize human activities. In our setting, everyday objects are instrumented with UHF RFID tags ca...
Michael Buettner, Richa Prasad, Matthai Philipose,...
This paper describes a text-to-audiovisual speech synthesizer system incorporating the head and eye movements. The face is modeled using a set of images of a human subject. Visemes...
We present methods for learning and tracking human motion in video. We estimate a statistical model of typical activities from a large set of 3D periodic human motion data by segm...
Dirk Ormoneit, Hedvig Sidenbladh, Michael J. Black...
Life-likeanimatedinterfaceagentsforknowledge-basedlearning environments can provide timely, customized advice to support students’ problem solving. Because of their strong visua...
Stuart G. Towns, Jennifer L. Voerman, Charles B. C...