Abstract:
This paper describes the formulation and
implementation of Bayesian neural networks for head-movement
classification in a hands-free wheelchair navigation system.
Bayesian neural network training adjusts the weight decay
parameters automatically to their near-optimal values that give
the best generalisation. Moreover, no separate validation set is
used so all available data can be used for training. Experimental
results are presented showing that Bayesian neural network can
classify the head movement accurately.
