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Neural Computation, Vol 11, 229-242, Copyright © 1999 by The MIT Press

LETTERS

Modeling and Prediction of Human Behavior

Alex Pentland and Andrew Liu

We propose that many human behaviors can be accurately described as a set of dynamic models (e.g., Kalman filters) sequenced together by a Markov chain. We then use these dynamic Markov models to recognize human behaviors from sensory data and to predict human behaviors over a few seconds time. To test the power of this modeling approach, we report an experiment in which we were able to achieve 95% accuracy at predicting automobile drivers subsequent actions from their initial preparatory movements.


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T. KUMAGAI and M. AKAMATSU
Prediction of Human Driving Behavior Using Dynamic Bayesian Networks
IEICE Trans D: Information, February 1, 2006; E89-D(2): 857 - 860.
[Abstract] [PDF]


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Copyright © 1999 by The MIT Press.