Abstract
This paper introduces the description of the design and operation of a motorized multi-camera slider. The slider has been developed as part of an assistive technology aimed at monitoring physical rehabilitation exercises from different views. The monitoring of the exercises is performed from a couple of RGB-D Kinect cameras that are placed on the most convenient positions of the slider in an intelligent manner to capture the best views of the patient’s important body parts. This paper focuses mainly on the description of the dynamic model of the platform and the control of the motorized slider.
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Acknowledgements
This work was partially supported by Spanish Ministerio de Economía y Competitividad/FEDER under TIN2015-72931-EXP, TIN2013-47074-C2-1-R and TIN2012-34003 grants. Miguel Oliver holds an FPU scholarship (FPU13/03141) from the Spanish Government.
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Panduro, R., Oliver, M., Morales, R., González, P., Fernández-Caballero, A. (2016). Motorized Multi-camera Slider for Precise Monitoring of Physical Rehabilitation. In: García, C., Caballero-Gil, P., Burmester, M., Quesada-Arencibia, A. (eds) Ubiquitous Computing and Ambient Intelligence. IWAAL AmIHEALTH UCAmI 2016 2016 2016. Lecture Notes in Computer Science(), vol 10070. Springer, Cham. https://doi.org/10.1007/978-3-319-48799-1_3
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DOI: https://doi.org/10.1007/978-3-319-48799-1_3
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