Case-based reasoning emulation of persons for wheelchair navigation

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ObjectiveTesting is a key stage in system development, particularly in systems such as a wheelchair, in which the final user is typically a disabled person. These systems have stringent safety requirements, requiring major testing with many different individuals. The best would be to have the wheelchair tested by many different end users, as each disability affects driving skills in a different way. Unfortunately, from a practical point of view it is difficult to engage end users as beta testers. Hence, testing often relies on simulations. Naturally, these simulations need to be as realistic as possible to make the system robust and safe before real tests can be accomplished. This work presents a tool to automatically test wheelchairs through realistic emulation of different wheelchair users.

论文关键词:Case-based reasoning,Behavior learning,Behavior prediction,User emulation,Power wheelchair

论文评审过程:Received 17 July 2008, Revised 30 July 2012, Accepted 15 August 2012, Available online 13 October 2012.

论文官网地址:https://doi.org/10.1016/j.artmed.2012.08.007