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In nowadays aging society, many people require assistance for non-pedestrian mobility. In some cases, assistive devices require a certain degree of autonomy when the persons’ disabilities difficult manual
control. In this field, it is important to rate user performance to check how much help he/she needs. This paper presents an overview of common metrics for wheelchair navigation, plus some proposed by authors to
take into account new approaches to wheelchair control. We present an example of proposed metrics on a robotized Meyra wheelchair at Santa Lucia Hospedale in Rome to prove their meaning and adequacy.
CitationUrdiales, C. [et al.]. A metrics review for performance evaluation on assisted wheelchair navigation. A: International Work-Conference on Artificial Neural Networks. "10th International Work-Conference on Artificial Neural Networks". Salamanca: Springer Verlag, 2009, p. 1145-1152.
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