@inproceedings{4154b81823df4901a2396cf40bc7244e,
title = "Real-time control for an upper-limb exoskeleton robot using ANFIS",
abstract = "In this paper, we propose a control system based on the Electromyography (EMG) to govern a two-DOF upper-limb exoskeleton robot developed in our laboratory, named as HAMEXO. Achieving real-time control is the main concern for the proposed system. In addition, the adaptive neural fuzzy inference system (ANFIS) is adopted for tackling the coupling present between joints during motion, and also providing the adaptability for various users. Experiments are conducted to verify its feasibility.",
keywords = "ANFIS, Real-time control, Upper-limb exoskeleton",
author = "Jiang, {Shao Fu} and Kuu-Young Young and Ko, {Chun Hsu}",
year = "2018",
month = feb,
day = "20",
doi = "10.1109/ARIS.2017.8297176",
language = "English",
isbn = "9781538624197",
series = "International Conference on Advanced Robotics and Intelligent Systems, ARIS",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2017 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2017",
address = "United States",
note = "2017 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2017 ; Conference date: 06-09-2017 Through 08-09-2017",
}