@inproceedings{85c50d5d057e4d669df3155dca898cf1,
title = "A Multisensory and Support Vector Machine Based Teleoperate Robotic Arm",
abstract = "Teleoperation is a crucial function for human-robotic cooperation. This paper presents an advanced multisensory controlling robotic arm based on flexible electromyography (EMG) sensor and inertial measurement unit (IMU). Signals from these sensors map to different degrees of freedom (DOFs) of the human body. And a support vector machine based algorithm process the data sampling from the sensors to classify three standard muscle modes. This method could reach a high accuracy of 98.7\%. Through an adaptive control method based control algorithm, one user could use the robotic arm to finish one task with an average time of 37.6s. This article demonstrates a feasible means for robotic teleoperation by integrating multiple wearable sensing techniques and the comprehensive control algorithm, potentially advancing the development of human-robotic cooperation.",
keywords = "Electromyography, Inertial Measurement Unit, Machine Learning, Multisensory, Robotic Teleoperation",
author = "Meng Chu and Ziang Cui and Shuo Gao",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Flexible and Printable Sensors and Systems, FLEPS 2021 ; Conference date: 20-06-2021 Through 23-06-2021",
year = "2021",
month = jun,
day = "20",
doi = "10.1109/FLEPS51544.2021.9469757",
language = "英语",
series = "FLEPS 2021 - IEEE International Conference on Flexible and Printable Sensors and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "FLEPS 2021 - IEEE International Conference on Flexible and Printable Sensors and Systems",
address = "美国",
}