Abstract
The paper presents the working model of the face tracking system. The proposed solution may be used as one of the parts of the rehabilitation or assistive robotic system and serve as the robotic vision subsystem or as the module controlling robotic arm. It is a low-cost design, it is based on open source hardware and software components. As a hardware base the Raspberry Pi computer was used. The machine vision software is based on Python programming language and OpenCV computer vision library.
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Raif, P., Tkacz, E. (2018). The Face Tracking System for Rehabilitation Robotics Applications. In: Gzik, M., Tkacz, E., Paszenda, Z., Piętka, E. (eds) Innovations in Biomedical Engineering . IBE 2017. Advances in Intelligent Systems and Computing, vol 623 . Springer, Cham. https://doi.org/10.1007/978-3-319-70063-2_20
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DOI: https://doi.org/10.1007/978-3-319-70063-2_20
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