Vision-based reaching for autonomous virtual humans

A method for the generation of realistic real-time goal-directed virtual human arm motion is presented. Agents are endowed with a rudimentary synthetic vision and memory system that is used to gather and store data about objects in the vicinity. Agents then use the perceived object data rather than global database object data for the planning of reaching arm motions. Our method differs from previous attempts at goal-directed motion generation in that it uses sensory information available to the agent in order to distinguish between movements towards those objects visible to the agent, and movements towards memorised object locations. The generation of appropriate arm configurations under these circumstances is based on results from neurophysiology.

[1]  Chris Welman,et al.  INVERSE KINEMATICS AND GEOMETRIC CONSTRAINTS FOR ARTICULATED FIGURE MANIPULATION , 1993 .

[2]  Norman I. Badler,et al.  Real-Time Inverse Kinematics of the Human Arm , 1996, Presence: Teleoperators & Virtual Environments.

[3]  Koichi Kondo,et al.  Inverse Kinematics of a Human Arm , 1994 .

[4]  Daniel Thalmann,et al.  Navigation for digital actors based on synthetic vision, memory, and learning , 1995, Comput. Graph..

[5]  Craig W. Reynolds.  Flocks, herds, and schools: a distributed behavioral model , 1987, SIGGRAPH.

[6]  Demetri Terzopoulos,et al.  Artificial fishes: physics, locomotion, perception, behavior , 1994, SIGGRAPH.

[7]  Daniel Thalmann,et al.  A vision-based approach to behavioural animation , 1990, Comput. Animat. Virtual Worlds.

[8]  Jean-Christophe Nebel,et al.  Realistic Collision Avoidance of Upper Limbs Based on Neuroscience Models , 2000, Comput. Graph. Forum.

[9]  J. F. Soechting,et al.  Errors in pointing are due to approximations in sensorimotor transformations. , 1989, Journal of neurophysiology.

[10]  Xiaoyuan Tu,et al.  Artificial Animals for Computer Animation: Biomechanics, Locomotion, Perception, and Behavior , 1999, Lecture Notes in Computer Science.

[11]  Thanh Giang,et al.  ALOHA : Adaptive Level Of Detail for Human Animation Towards a new framework , 2000, Eurographics.

[12]  J. F. Soechting,et al.  Coordination of arm movements in three-dimensional space. Sensorimotor mapping during drawing movement , 1986, Neuroscience.

[13]  Alexandre Pouget,et al.  Computational approaches to sensorimotor transformations , 2000, Nature Neuroscience.

[14]  Norman I. Badler,et al.  Strength guided motion , 1990, SIGGRAPH.

[15]  Jean-Claude Latombe,et al.  Fast synthetic vision, memory, and learning models for virtual humans , 1999, Proceedings Computer Animation 1999.