This paper presents a mathematical model for the learning of accurate human arm movements. Its main features are that the movement is the superposition of smooth submovements, the ...
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
We propose a statistical formulation for 2-D human pose estimation from single images. The human body configuration is modeled by a Markov network and the estimation problem is to...
We describe the development of a computer-generated arena within which one can study human place learning by asking subjects to locate an invisible target. A series of studies demo...
L. Nadel, K. G. F. Thomas, H. E. Laurance, R. Skel...