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：肌电图（EMG）作为一种人机交互（HCI）输入模态，在假肢控制领域取得长期成功后被广泛探索。尽管EMG有潜力满足多种免手动交互需求，但由于其被认为缺乏鲁棒性和直观性，至今在假肢领域之外尚未被广泛接受。为理解如何更好地设计EMG输入系统，我们对ACM数字图书馆进行了采样，以识别现有方法中的局限性。结合这些研究工作以及我们研究团队在该领域丰富的跨学科经验，我们归纳出四个主题：（1）交互设计、（2）模型设计、（3）系统评估和（4）可重复性。基于这些主题，我们提出了一个逐步设计EMG输入系统的框架，以巩固EMG交互的基础。此外，我们向研究人员发出行动倡议，呼吁解锁EMG作为广泛应用且高度可用输入模态的隐藏潜力。