@inproceedings{95ea3690075f4ca68c5e753e4d854791,
title = "An Eye Tracking and EEG Based Human-Robotic Interactive System for Motion Impaired Patients",
abstract = "Amyotrophic lateral sclerosis (ALS) patients suffer from difficulties in grasping objects in daily life. To help them regain impaired functionalities at a certain level, in this article, we present a visual feedback based eye tracking and EEG based human-machine interactive technique, in which the eye tracking system is used for locating user desired objects, and the EEG system is for instructing corresponding operations. A robotic arm is employed here to grasp the targeted objects. Experimental results demonstrate that the developed system can accurately reflect user's intentions in terms of grasping surrounding objects.",
keywords = "EEG, eye tracking, human-robotic interaction, visual feedback",
author = "Jiaqi Wang and Zihao Wang and Zesen Zou and Junhao Xue and Aojie Zhang and Ruochen Tian 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/FLEPS51544.2021.9469702",
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",
}