Computer animation of knowledge-based human grasping
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Neural network design
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Construction and animation of anatomically based human hand models
Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation
Forces, activation and displacement prediction during free movement in the hand and forearm
Journal of Robotic Systems
Simulating human fingers: a soft finger proxy model and algorithm
HAPTICS'04 Proceedings of the 12th international conference on Haptic interfaces for virtual environment and teleoperator systems
Visual recognition of continuous hand postures
IEEE Transactions on Neural Networks
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The human hand is the most complete tool, able to adapt to different surfaces and shapes and touch and grasp. It is a direct connection between the exterior world and the brain. I. Kant (German philosopher) defined how the hand is an extension of the brain. In this paper we present and develop a new algorithm for grasp any object in a virtual environment (VE). The objective is to present a novel theory for grasping in the VE any object with the virtual human (VH). The novel concepts for this application are the autonomous grasp, implementation of several types of grasp, and a new algorithm for grasp.