Human-Machine Interface for the Control of Multi-Function Systems Based on Electrocutaneous Menu: Application to Multi-Grasp Prosthetic Hands.
Human-Machine Interface for the Control of Multi-Function Systems Based on Electrocutaneous Menu: Application to Multi-Grasp Prosthetic Hands.
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DOI：
10.1371/journal.pone.0127528
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发表时间：
2015
期刊：
影响因子：
3.7
通讯作者：
Farina D
中科院分区：
文献类型：
--
作者：
Gonzalez-Vargas J;Dosen S;Amsuess S;Yu W;Farina D
现代辅助设备是具有多个自由度的非常复杂的系统。然而，由于传统的人机界面(HMI)不能很容易地适应系统的复杂性，对这些系统的有效和用户友好的控制仍然是一个悬而未决的问题。在HMI中，用户负责生成直接触发设备功能的唯一命令信号模式。当有许多功能(需要许多命令模式)和/或用户有相当大的损伤(可用信号源的数量有限)时，该方法可能难以实现。在这项研究中，我们提出了一个新的概念的通用人机界面，其中控制器和用户双向交流，以选择所需的功能。该系统首先通过电触觉刺激向用户提供可能的选择；然后，用户通过产生单个命令信号来确认所需的选择。因此，所提出的方法简化了用户通信接口(生成一个信号)、解码(识别一个信号)，并允许从多个选项中进行选择。为了展示这一新概念，该方法被用于一个特定的应用，即在不使用任何肌电通道的情况下在最先进的商业假手中实现对所有相关功能的控制。我们在健康受试者和一名截肢者身上进行了实验，以测试新方法的可行性。结果表明，新的人机界面概念的性能与传统的肌电接口相当，或者在某些结果指标上优于经典的肌电接口。所提出的方法具有普遍的适用性，所获得的结果表明，它可以用于操作各种辅助系统(例如，假肢和轮椅)，或者可以集成到其他控制方案中(例如，肌电控制、脑机接口)，以提高现有低带宽HMI的可用性。
Modern assistive devices are very sophisticated systems with multiple degrees of freedom. However, an effective and user-friendly control of these systems is still an open problem since conventional human-machine interfaces (HMI) cannot easily accommodate the system’s complexity. In HMIs, the user is responsible for generating unique patterns of command signals directly triggering the device functions. This approach can be difficult to implement when there are many functions (necessitating many command patterns) and/or the user has a considerable impairment (limited number of available signal sources). In this study, we propose a novel concept for a general-purpose HMI where the controller and the user communicate bidirectionally to select the desired function. The system first presents possible choices to the user via electro-tactile stimulation; the user then acknowledges the desired choice by generating a single command signal. Therefore, the proposed approach simplifies the user communication interface (one signal to generate), decoding (one signal to recognize), and allows selecting from a number of options. To demonstrate the new concept the method was used in one particular application, namely, to implement the control of all the relevant functions in a state of the art commercial prosthetic hand without using any myoelectric channels. We performed experiments in healthy subjects and with one amputee to test the feasibility of the novel approach. The results showed that the performance of the novel HMI concept was comparable or, for some outcome measures, better than the classic myoelectric interfaces. The presented approach has a general applicability and the obtained results point out that it could be used to operate various assistive systems (e.g., prosthesis vs. wheelchair), or it could be integrated into other control schemes (e.g., myoelectric control, brain-machine interfaces) in order to improve the usability of existing low-bandwidth HMIs.
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影响因子：
4.3
作者：
Brouwer AM;van Erp JB
通讯作者：
van Erp JB
影响因子：
3.7
作者：
Ganin IP;Shishkin SL;Kaplan AY
通讯作者：
Kaplan AY
影响因子：
3.2
作者：
ANANI, AB;IKEDA, K;KORNER, LM
通讯作者：
KORNER, LM
旨在减轻手臂位置对经桡侧截肢者基于肌电图模式识别的运动分类的影响。
影响因子：
5.1
作者：
Geng Y;Zhou P;Li G
通讯作者：
Li G
影响因子：
168.9
作者：
Flor, H;Denke, C;Grüsser, S
通讯作者：
Grüsser, S