Supervised vs. Unsupervised Learning for Operator State Modeling in Unmanned Vehicle Settings
In this paper, we model operator states using hidden Markov models applied to human supervisory control behaviors. More specifically, we model the behavior of an operator of multiple heterogeneous unmanned vehicle systems. The hidden Markov model framework allows the inference of higher operator sta...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Journal of Aerospace Computing, Information, and Communication,
2014-05-16T14:51:01Z.
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| Subjects: | |
| Online Access: | Get fulltext |