A feasibility study of depth image based intent recognition for lower limb prostheses. Varol, H. A. & Massalin, Y. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pages 5055-5058, Aug, 2016. Paper doi bibtex @INPROCEEDINGS{varol2016feasibility,
author={H. A. Varol and Y. Massalin},
booktitle={2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
title={A feasibility study of depth image based intent recognition for lower limb prostheses},
year={2016},
volume={},
number={},
pages={5055-5058},
keywords={biomedical optical imaging;cameras;gait analysis;image recognition;medical image processing;operating system kernels;prosthetics;support vector machines;activity mode recognition;classification task;confidence map based filtering;cubic kernel;depth camera based recognition system;depth image based intent recognition;dynamic instance;low limb prostheses;robotic prosthetic legs;running mode;stair ascent mode;stair descent mode;standing;static instance;support vector machine;voting filter;walking mode;Cameras;Legged locomotion;Prosthetics;Robot sensing systems;Support vector machines;Switches},
doi={10.1109/EMBC.2016.7591863},
ISSN={1557-170X},
month={Aug},
url_Paper={http://arms.nu.edu.kz/sites/default/files/varol2016feasibility.pdf}
}
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