Abstract
This paper presents an intelligent assistive robotic system for people suffering from myopathy. In this context, we are developing a 4 DoF assistive exoskeletal orthosis for the upper limb. A special attention is made toward Human Machine Interaction (HMI). We propose the use of visual sensing as interface able to convert user head gesture and mouth expression into a suitable control command. In that way, a non-intrusive cameras control is particularly adapted to disabled people. Moreover, we propose to robustify the command with a visual context analysis component.
In this paper, we will first describe the problematic and the designed mechanical system. Next, we will describe the two approaches developed for visual sensing interface: head control and mouth expression control. Finally, we introduce the context detection for scene understanding.
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Baklouti, M., Monacelli, E., Guitteny, V., Couvet, S. (2008). Intelligent Assistive Exoskeleton with Vision Based Interface. In: Helal, S., Mitra, S., Wong, J., Chang, C.K., Mokhtari, M. (eds) Smart Homes and Health Telematics. ICOST 2008. Lecture Notes in Computer Science, vol 5120. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69916-3_15
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DOI: https://doi.org/10.1007/978-3-540-69916-3_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69914-9
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