We present the results of using Hidden Markov Models (HMMs) for automatic segmentation and recognition of user motions. Previous work on recognition of user intent with man/machin...
C. Sean Hundtofte, Gregory D. Hager, Allison M. Ok...
Human motion tracking is an important problem in computer vision. Most prior approaches have concentrated on efficient inference algorithms and prior motion models; however, few c...
Marek Vondrak, Leonid Sigal, Odest Chadwicke Jenki...
While talking, people may move heavily their arms around, remain expressionless, or even display subtle facial movements... These differences may arise from personality, cultural,...
—“Autonomic systems” merge advancements in the field of multi-agent software design, dynamic analysis, and decentralized control in order to assist designers in constructing...
We build on PTIDES, a programming model for distributed embedded systems that uses discrete-event (DE) models as program specifications. PTIDES improves on distributed DE executi...