A practical EMG-based human-computer interface for users with motor disabilities.

A practical EMG-based human-computer interface for users with motor disabilities.
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发表时间:
2000
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通讯作者:
Armando Barreto;Scott Scargle;Malek Adjouadi
Armando Barreto;Scott Scargle;Malek Adjouadi
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作者:
Armando Barreto;Scott Scargle;Malek Adjouadi

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根据 1998 年《辅助技术法案》(ATA) 的使命,本研究提出了一种集成辅助实时系统,该系统“确认技术是可用于改善残疾人生活的宝贵工具”。 ATA 将辅助技术设备定义为“用于增加、维持或改善残疾人功能的任何物品、设备或产品系统,无论是商业购买、修改还是定制。”本研究的目的是设计和开发一种替代输入设备,即使患有严重运动障碍的人也可以使用。该实时系统设计利用来自颅骨肌肉的肌电图 (EMG) 生物信号和来自大脑枕叶的脑电图 (EEG) 生物信号,这些信号被转换为二维 (2-D) 光标移动、左键单击 (Enter) 命令和光标控制功能的开/关开关的控制。该 HCI 系统通过应用幅度阈值并对离散数据窗口执行功率谱密度 (PSD) 估计,将生物信号分类为“鼠标”功能。频谱功率总和​​在 8 至 500 Hz 之间的多个频段上进行聚合,然后进行比较以产生正确的分类。其结果是一个经济实惠的基于 DSP 的系统,当与屏幕键盘结合使用时,用户无需使用任何四肢即可完全操作计算机。
In line with the mission of the Assistive Technology Act of 1998 (ATA), this study proposes an integrated assistive real-time system which "affirms that technology is a valuable tool that can be used to improve the lives of people with disabilities." An assistive technology device is defined by the ATA as "any item, piece of equipment, or product system, whether acquired commercially, modified, or customized, that is used to increase, maintain, or improve the functional capabilities of individuals with disabilities." The purpose of this study is to design and develop an alternate input device that can be used even by individuals with severe motor disabilities. This real-time system design utilizes electromyographic (EMG) biosignals from cranial muscles and electroencephalographic (EEG) biosignals from the cerebrum's occipital lobe, which are transformed into controls for two-dimensional (2-D) cursor movement, the left-click (Enter) command, and an ON/OFF switch for the cursor-control functions. This HCI system classifies biosignals into "mouse" functions by applying amplitude thresholds and performing power spectral density (PSD) estimations on discrete windows of data. Spectral power summations are aggregated over several frequency bands between 8 and 500 Hz and then compared to produce the correct classification. The result is an affordable DSP-based system that, when combined with an on-screen keyboard, enables the user to fully operate a computer without using any extremities.