Electromyography (EMG) has been explored as an HCI input modality following a long history of success for prosthesis control. While EMG has the potential to address a range of hands-free interaction needs, it has yet to be widely accepted outside of prosthetics due to a perceived lack of robustness and intuitiveness. To understand how EMG input systems can be better designed, we sampled the ACM digital library to identify limitations in the approaches taken. Leveraging these works in combination with our research group's extensive interdisciplinary experience in this field, four themes emerged (1) interaction design, (2) model design, (3) system evaluation, and (4) reproducibility. Using these themes, we provide a step-by-step framework for designing EMG-based input systems to strengthen the foundation on which EMG-based interactions are built. Additionally, we provide a call-to-action for researchers to unlock the hidden potential of EMG as a widely applicable and highly usable input modality.
翻译:电肌图(electromyography,EMG)已经被广泛用于假肢控制。尽管EMG在肢体无接触交互方面具有潜力,但由于被认为不够健壮和直观,因此在假肢以外的领域尚未被广泛接受。为了了解如何更好地设计EMG输入系统,我们对ACM数字图书馆进行了采样以确定其设计方法的限制。结合我们研究小组在此领域的广泛跨学科经验,我们得出了四个主题:(1)交互设计,(2)模型设计,(3)系统评估和(4)可重复性。使用这些主题,我们提供了一种设计EMG输入系统的逐步框架,以加强构建基于EMG的交互性的基础。此外,我们发出呼吁,号召研究者发掘EMG作为广泛适用和高度可用的输入模态的潜力。