Juliet Christopher

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Many problems in computer graphics concern the precise positioning of a human figure, and in particular, the positioning of the joints in the upper body as a virtual character performs some action. We explore a new technique for precisely positioning the joints in the arms of a human figure to achieve a desired posture. We focus on an analytic solution for(More)
We study the convergence of Bayesian learning in a tandem social network. Each agent receives a noisy signal about the underlying state of the world, and observes her predecessor's action before choosing her own. We characterize the conditions under which, as the network grows larger, agents' beliefs converge to the true state of the world. The literature(More)
We present an improved anatomically based approach to modeling the human hand for use in the animation of the American Sign Language. The joint rotations in the model are based on the bone and muscle configurations of the hand, and a forward kinematic solution is used to position the hand. In particular, we investigate the rotations of the base joint of the(More)
A system to interactively create and modify/edit American Sign Language signs is described. The system is grounded on the use of three-dimensional computer graphics to construct the signs. Usability tests have been conducted to obtain early feedback on the user experience with the system. The final goal is to build a personal digital translator for the(More)
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