A survey on different human-machine interactions used for controlling an electric wheelchair

被引:18
|
作者
Ghorbel, Agnes [1 ]
Ben Amor, Nader [1 ]
Jallouli, Mohamed [1 ]
机构
[1] Univ Sfax, Comp & Embedded Syst Lab, Ecole Natl Ingenieurs Sfax ENIS, Sfax, Tunisia
来源
KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS (KES 2019) | 2019年 / 159卷
关键词
Healthcare; Smart wheelchair; Smart HMIs; SYSTEM;
D O I
10.1016/j.procs.2019.09.194
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Nowadays, enhanced mobility is a major challenge in the public healthcare sector, especially for the elderly and disabled persons living alone. Therefore, the demand for assistance systems as smart wheelchairs, especially for patients who are not able to walk normally because of some injury, has considerably increased within the healthcare industry. The power of modern computer systems has created new opportunities for human-machine interaction researchers to expand the capabilities of conventional wheelchairs by introducing specialized interfaces to enable the user to emit a command perceptible and understandable by a machine. In this paper, we present a survey on different human-machine interactions used for controlling an electric wheelchair and we demonstrate the effectiveness of our interface based on human facial expressions. (C) 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of KES International.
引用
收藏
页码:398 / 407
页数:10
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