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Abstract

Creating lifelike human movement in animation often requires countless hours of manual work, which can limit creativity, flexibility, and production speed. Procedural animation offers a smarter and more efficient solution by using mathematical models and computer algorithms to automatically generate realistic motion. This research explores how principles inspired by human biomechanics can be applied to produce natural, adaptive, and responsive character animation without relying heavily on traditional keyframing.

In this study, we integrate harmonic motion, inverse kinematics, and physical constraints to simulate actions such as walking, running, and turning with greater realism. The system dynamically adjusts a character’s movement in real time according to changes in terrain, balance, or speed, resulting in more believable and interactive animations. Additionally, the approach supports procedural blending between animation states, allowing smoother transitions and enhanced control for animators.

Our evaluation demonstrates that this method significantly improves motion accuracy and fluidity while reducing both production time and computational cost. The findings suggest that procedural techniques can bridge the gap between physics-based realism and artistic freedom, offering a promising direction for next-generation animation pipelines.

References:-

References

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Pardeshi, A. S., Jadhav, O. P., Patil, A. R., & . Shukla, P. R. (2026). Procedural Animation Techniques Based on Mathematical Modelling of Human Movement. International Journal Of Mathematics And Computer Research, 14(03), 110-114. https://doi.org/10.47191/ijmcr/v14iSPC3.23