Juliet Christopher

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We present an improved anatomically based approach to modeling the human hand for use in the animation of 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)
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)
grants to M.I.T. permission to reproduce and to distribute publicly paper and electronic copies of this thesis document in whole and in part in any medium now known or hereafter created. Abstract 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(More)
Usability tests have been conducted to obtain early feedback on animated computer graphics being developed to present translations of English into American Sign Language (ASL). These animations are part of development of a personal digital translator for the deaf. Since ASL is a visual language, it is particularly important that the animations be visually(More)
copies of this thesis document in whole and in part in any medium now known or hereafter created. Abstract An analytical model for the functionality of a permanent-magnet synchronous motor is developed. Taking as input a specific geometry, it predicts steady-state losses of a design at an average rate of 0.85 seconds per analysis, orders of magnitude faster(More)
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