Animating reactive motion using momentum‐based inverse kinematics

Interactive generation of reactive motions for virtual humans as they are hit, pushed and pulled are very important to many applications, such as computer games. In this paper, we propose a new method to simulate reactive motions during arbitrary bipedal activities, such as standing, walking or running. It is based on momentum based inverse kinematics and motion blending. When generating the animation, the user first imports the primary motion to which the perturbation is to be applied to. According to the condition of the impact, the system selects a reactive motion from the database of pre‐captured stepping and reactive motions. It then blends the selected motion into the primary motion using momentum‐based inverse kinematics. Since the reactive motions can be edited in real‐time, the criteria for motion search can be much relaxed than previous methods, and therefore, the computational cost for motion search can be reduced. Using our method, it is possible to generate reactive motions by applying external perturbations to the characters at arbitrary moment while they are performing some actions. Copyright © 2005 John Wiley & Sons, Ltd.

[1]  Lucas Kovar,et al.  Motion graphs , 2002, SIGGRAPH '08.

[2]  Kazuhito Yokoi,et al.  A realtime pattern generator for biped walking , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[3]  Jessica K. Hodgins,et al.  Interactive control of avatars animated with human motion data , 2002, SIGGRAPH.

[4]  Okan Arikan,et al.  Interactive motion generation from examples , 2002, ACM Trans. Graph..

[5]  Jessica K. Hodgins,et al.  Motion capture-driven simulations that hit and react , 2002, SCA '02.

[6]  Victor B. Zordan,et al.  Dynamic response for motion capture animation , 2005, SIGGRAPH '05.

[7]  Taku Komura,et al.  Animating reactive motions for biped locomotion , 2004, VRST '04.

[8]  Masaki Oshita,et al.  A Dynamic Motion Control Technique for Human‐like Articulated Figures , 2001, Comput. Graph. Forum.

[9]  Marc H. Raibert,et al.  Legged Robots That Balance , 1986, IEEE Expert.