  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.
