Context-Based Face Control of a Robotic Wheelchair

Arturo Escobedo 1 Jorge Rios-Martinez 1 Anne Spalanzani 1 Christian Laugier 1
1 E-MOTION - Geometry and Probability for Motion and Action
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
Abstract : In this article a method to perform semi- autonomous navigation on a wheelchair is presented, contextual information from the environment as user's habits and points of interest are employed to infer the user's desired destination in a global map. Illogical steering signals coming from the user- machine interface input are filtered out to improve the overall performance of the system. Examples using a face tracking system and voice recognition are presented. The estimation of the user's desired goal is performed employing a Bayesian network. An autonomous navigation system is used to control the wheelchair's low level navigation while the user is just concerned at pointing to the desired destination.
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workshop on navigation and manipulation assistance for robotic wheelchairs at IROS 2012. 2012
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https://hal.inria.fr/hal-00746572
Contributeur : Jesús Arturo Escobedo Cabello <>
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Arturo Escobedo, Jorge Rios-Martinez, Anne Spalanzani, Christian Laugier. Context-Based Face Control of a Robotic Wheelchair. workshop on navigation and manipulation assistance for robotic wheelchairs at IROS 2012. 2012. 〈hal-00746572〉

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