A Framework and Call to Action for the Future Development of EMG-Based Input in HCI

被引:13
|
作者
Eddy, Ethan [1 ]
Scheme, Erik [1 ]
Bateman, Scott [1 ]
机构
[1] Univ New Brunswick, Fredericton, NB, Canada
来源
PROCEEDINGS OF THE 2023 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI 2023 | 2023年
基金
加拿大自然科学与工程研究理事会;
关键词
electromyography; emg; dynamic gestures; static contractions; emg control; design framework; HAND GESTURE RECOGNITION; MYOELECTRIC CONTROL; PATTERN-RECOGNITION; REAL-TIME; SURFACE EMG; CLASSIFICATION SCHEME; PROSTHETIC CONTROL; NEURAL-NETWORKS; MUSCLE; EXTRACTION;
D O I
10.1145/3544548.3580962
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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 feld, 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.
引用
收藏
页数:23
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