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轮椅的高级免提控制——综述

High-level hands-free control of wheelchair - a review.

作者信息

Ashok Sharmila

机构信息

a School of Electrical Engineering , VIT University , Vellore , India.

出版信息

J Med Eng Technol. 2017 Jan;41(1):46-64. doi: 10.1080/03091902.2016.1210685. Epub 2016 Aug 8.

DOI:10.1080/03091902.2016.1210685
PMID:27498944
Abstract

A vital perception in designing human-machine interfaces for people with disabilities is hands-free control. It is important in setting up communication among a machine and the part of human body. Nowadays, hands-free control is extensively used to help disabled people to control the wheelchair. The hands-free control functions are not only helpful to elderly and disabled, but also useful for normal people who might require using their hands for other tasks at the same time. As a result, normal people are capable of manipulating multiple tasks at the same time. The wheelchair is manoeuvred using brainwaves, eyes and facial muscles movements, voice, tongue, gesture. The mobility using a powered wheelchair improves the quality of life of the aged people and the people with mobility impairments significantly. These powered wheelchairs can be actuated using various high-level control interfaces. In this review, the use of natural biological signals and non-biological signal to do the hands-free control of powered wheelchair is presented in this article.

摘要

为残疾人设计人机界面时的一个重要理念是免提控制。这对于在机器与人体部位之间建立通信很重要。如今,免提控制被广泛用于帮助残疾人控制轮椅。免提控制功能不仅对老年人和残疾人有帮助,对那些可能同时需要用手做其他事情的正常人也很有用。因此,正常人能够同时处理多项任务。轮椅通过脑电波、眼睛和面部肌肉运动、语音、舌头、手势来操控。使用电动轮椅出行能显著提高老年人和行动不便者的生活质量。这些电动轮椅可以通过各种高级控制接口来驱动。在这篇综述中,本文介绍了利用自然生物信号和非生物信号对电动轮椅进行免提控制的情况。

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引用本文的文献

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Sensors (Basel). 2025 May 12;25(10):3037. doi: 10.3390/s25103037.
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A Brain-Controlled and User-Centered Intelligent Wheelchair: A Feasibility Study.脑控与用户为中心的智能轮椅:可行性研究。
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Health, social care and technological interventions to improve functional ability of older adults living at home: An evidence and gap map.
改善居家老年人功能能力的健康、社会护理及技术干预措施:一项证据与差距图谱
Campbell Syst Rev. 2021 Jul 7;17(3):e1175. doi: 10.1002/cl2.1175. eCollection 2021 Sep.
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Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review.基于脑电图的脑机接口的现状、挑战及可能的解决方案:综述
Front Neurorobot. 2020 Jun 3;14:25. doi: 10.3389/fnbot.2020.00025. eCollection 2020.