Hands-free control of power wheelchairs using Bayesian neural network classification
- Publication Type:
- Conference Proceeding
- 2004 IEEE Conference on Cybernetics and Intelligent Systems, 2004, pp. 745 - 749
- Issue Date:
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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.
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