Citation

Pentland A, Liu A. Neural Comput. 1999; 11(1): 229-242.

Affiliation

The Media Laboratory, E15-387, Massachusetts Institute of Technology, 20 Ames Street, Cambridge MA 02139, USA. sandy@media.mit.edu

Copyright

(Copyright © 1999, MIT Press)

DOI

unavailable

PMID

9950731

Abstract

We propose that many human behaviors can be accurately described as a set of dynamic modes (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.

Language: en