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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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Submitted on : Thursday, November 8, 2012 - 3:32:22 PM
Last modification on : Tuesday, August 2, 2022 - 4:24:35 AM
Long-term archiving on: : Saturday, February 9, 2013 - 3:41:32 AM


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  • HAL Id : hal-00746572, version 1


Arturo Escobedo, Jorge Rios-Martinez, Anne Spalanzani, Christian Laugier. Context-Based Face Control of a Robotic Wheelchair. 2012. ⟨hal-00746572⟩



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