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基于注视和眼动追踪的辅助机器人手臂控制方法的范围综述。

A scoping review of gaze and eye tracking-based control methods for assistive robotic arms.

作者信息

Fischer-Janzen Anke, Wendt Thomas M, Van Laerhoven Kristof

机构信息

Faculty Economy, Work-Life Robotics Institute, University of Applied Sciences Offenburg, Offenburg, Germany.

Ubiquitous Computing, Department of Electrical Engineering and Computer Science, University of Siegen, Siegen, Germany.

出版信息

Front Robot AI. 2024 Feb 19;11:1326670. doi: 10.3389/frobt.2024.1326670. eCollection 2024.

Abstract

Assistive Robotic Arms are designed to assist physically disabled people with daily activities. Existing joysticks and head controls are not applicable for severely disabled people such as people with Locked-in Syndrome. Therefore, eye tracking control is part of ongoing research. The related literature spans many disciplines, creating a heterogeneous field that makes it difficult to gain an overview. This work focuses on ARAs that are controlled by gaze and eye movements. By answering the research questions, this paper provides details on the design of the systems, a comparison of input modalities, methods for measuring the performance of these controls, and an outlook on research areas that gained interest in recent years. This review was conducted as outlined in the PRISMA 2020 Statement. After identifying a wide range of approaches in use the authors decided to use the PRISMA-ScR extension for a scoping review to present the results. The identification process was carried out by screening three databases. After the screening process, a snowball search was conducted. 39 articles and 6 reviews were included in this article. Characteristics related to the system and study design were extracted and presented divided into three groups based on the use of eye tracking. This paper aims to provide an overview for researchers new to the field by offering insight into eye tracking based robot controllers. We have identified open questions that need to be answered in order to provide people with severe motor function loss with systems that are highly useable and accessible.

摘要

辅助机器人手臂旨在帮助身体残疾人士进行日常活动。现有的操纵杆和头部控制方式不适用于诸如闭锁综合征患者等严重残疾人士。因此,眼动追踪控制是正在进行的研究内容之一。相关文献涵盖多个学科,形成了一个异质性领域,难以获得全面的了解。这项工作聚焦于由注视和眼动控制的辅助机器人手臂。通过回答研究问题,本文详细介绍了系统设计、输入方式的比较、这些控制方式性能的测量方法,以及对近年来受到关注的研究领域的展望。本综述按照《2020年系统评价和Meta分析的首选报告项目声明》(PRISMA 2020 Statement)进行。在确定了广泛使用的多种方法后,作者决定使用PRISMA - ScR扩展进行范围综述以呈现结果。识别过程通过筛选三个数据库进行。筛选过程之后,进行了滚雪球式搜索。本文纳入了39篇文章和6篇综述。提取并呈现了与系统和研究设计相关的特征,并根据眼动追踪的使用情况分为三组。本文旨在通过深入介绍基于眼动追踪的机器人控制器,为该领域的新手研究人员提供一个概述。我们已经确定了一些开放性问题,为了给严重运动功能丧失的人提供高度可用且易于使用的系统,这些问题需要得到解答。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38de/10909843/d77e82ed76f2/frobt-11-1326670-g001.jpg

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