@inproceedings{67d7b3907fe74e7fb8ecb9a0784eb82d,
title = "The face tracking system for rehabilitation robotics applications",
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.",
keywords = "Assistive robotics, Face recognition, Human computer interaction, Machine vision, Object tracking, OpenCV, Raspberry Pi, Rehabilitation robotics",
author = "Pawe{\l} Raif and Ewaryst Tkacz",
note = "Publisher Copyright: {\textcopyright} 2018, Springer International Publishing AG.; Conference on Innovations in Biomedical Engineering, IBE 2017 ; Conference date: 19-10-2017 Through 20-10-2017",
year = "2018",
doi = "10.1007/978-3-319-70063-2\_20",
language = "English",
isbn = "9783319700625",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "185--192",
editor = "Marek Gzik and Zbigniew Paszenda and Ewaryst Tkacz and Ewa Pietka",
booktitle = "Innovations in Biomedical Engineering",
address = "Germany",
}