A Metrics Review for Performance Evaluation on Assisted Wheelchair Navigation

Authors:
Cristina Urdiales;Jose M. Peula;Ulises Cortés;Christian Barrué;Blanca Fernández-Espejo;Roberta Annichiaricco;Francisco Sandoval;Carlo Caltagirone
Affiliations:
Dpto. Tecnología Electrónica, University of Málaga, Málaga, Spain;Dpto. Tecnología Electrónica, University of Málaga, Málaga, Spain;Software Department, Technical University of Catalonia, Barcelona, Spain;Software Department, Technical University of Catalonia, Barcelona, Spain;Dpto. Tecnología Electrónica, University of Málaga, Málaga, Spain;Fondazione Santa Lucia, Rome, Italia;Dpto. Tecnología Electrónica, University of Málaga, Málaga, Spain;Fondazione Santa Lucia, Rome, Italia
Venue:
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Year:
2009

Citing 3
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Abstract

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.