Generating Believable Virtual Characters Using Behavior Capture and Hidden Markov Models

@inproceedings{Zhao2011GeneratingBV,
  title={Generating Believable Virtual Characters Using Behavior Capture and Hidden Markov Models},
  author={Richard Zhao and Duane Szafron},
  booktitle={Advances in Computer Games},
  year={2011}
}
We propose a method of generating natural-looking behaviors for virtual characters using a data-driven method called behavior capture. We describe the techniques for capturing trainer-generated traces, for generalizing these traces, and for using the traces to generate behaviors during game-play. Hidden Markov Models (HMMs) are used as one of the generalization techniques for behavior generation. We compared our proposed method to other existing methods by creating a scene with a set of six… 

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