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. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Baklouti, M., Monacelli, E., Guitteny, V., & Couvet, S. (2008). Intelligent assistive exoskeleton with vision based interface. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5120 LNCS, pp. 123–135). https://doi.org/10.1007/978-3-540-69916-3_15
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