Proceedings: GI 1996

Knowledge-driven, interactive animation of human running

Armin Bruderlin, Tom Calvert

Proceedings of Graphics Interface '96: Toronto, Ontario, Canada, 22 - 24 May 1996, 213-221

DOI 10.20380/GI1996.25

  • BibTeX

    @inproceedings{BruderlinCalvert-gi96,
     title = {Knowledge-driven, interactive animation of human running},
     author = {Armin Bruderlin and Tom Calvert},
     booktitle = {Proceedings of the Graphics Interface 1996 Conference, May 22-24, 1996, Toronto, Ontario, Canada},
     year = {1996},
     month = {May},
     isbn = {0-9695338-5-3},
     publisher = {Canadian Human-Computer Communications Society},
     url = {http://graphicsinterface.org/wp-content/uploads/gi1996-25.pdf},
     pages = {213--221}
    }
    

Abstract

A high-level motion control system for the animation of human-like figures is introduced which generates a wide variety of individual running styles in real time. Sequences such as a leisurely jog, a fast sprint or a bouncy run are conveniently obtained by interactively setting the values of ''running'' parameters such as desired velocity, step length, ''flight'' height or ''heel/toe'' strike while observing a running figure on the screen. The algorithm incorporates knowledge of how humans run at several levels: empirical knowledge defines the relationships between the running parameters; for example, a change in running velocity by the user triggers a change in step length to maintain a ''natural'' running stride. Physical knowledge calculates the trajectory of the body for the current running step. Knowledge about limb-coordination of a running stride is utilized for establishing both, state-constraints which define the support and flight states, and phase-constraints to ''guide'' the internal joint-angle interpolation for the stance and swing phases.