We consider the problem of predicting a sequence of real-valued multivariate states from a given measurement sequence. Its typical application in computer vision is the task of mo...
Human performance can seriously degrade under demanding tasks. To improve performance, agents can reason about the current state of the human, and give the most appropriate and eff...
Fiemke Both, Mark Hoogendoorn, S. Waqar Jaffry, Ri...
We explored the possibility of predicting learners’ affective states (boredom, flow/engagement, confusion, and frustration) by monitoring variations in the cohesiveness of tutori...
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
William Pentney, Matthai Philipose, Jeff A. Bilmes
The predictive pole-placement control method introduced in this paper embeds the classical pole-placement state feedback design into a quadratic optimisation based model-predictiv...